Analysis of visual communication elements in variable font design from the perspective of digital technology

Abstract

With the maturity of digital technology, the effectiveness of information transmission has received extensive attention. Variable font design is regarded as an extension of graphic design in digital media art, and variable font design is studied from the perspective of information communication design. From the perspective of digital technology, based on the research theory of variable information communication design, combined with the specific methods of font design, the perception, cognitive methods, and aesthetic laws of aesthetic subject vision and psychology in the field of font variable design are discussed. Provide relevant theoretical support for information communication design activities with variable fonts. Based on artificial intelligence technology, a new interactive art expression method is proposed. By analyzing the main expression scenarios of interactive art, namely user information communication scenarios, interactive art push scenarios, interactive art promotion scenarios and personal service scenarios, it provides a scenario application basis for interactive expression, calculate the space complexity, space complexity and resource complexity, according to the complexity calculation results, carry out interaction design from three aspects of visual elements, multimedia elements, and human-computer interaction elements, integrate the topology structure after the interaction is realized, and in the network topology structure. The proposed model consists mainly of visual design, basic design elements, basic visual design, complete design and solution generation. It realizes the expression of interactive art of multimedia elements in display and control. The experimental results show that the interactive element extraction speed of the visual communication expression method based on artificial intelligence technology is increased by 30%, and the flexibility is stronger.

Keywords

Visual communication artificial intelligence digital technology design content

1. Introduction

Words are a kind of visual symbols whose function is to accurately translate the auditory symbols of the language into visual symbols. The text structure has the function of visual graphics. The font can achieve better information communication effect through design. The font design is carefully arranged according to the rules of text visual design [1]. Text is a universal visual symbol in the world and an indispensable element in design. Text plays an important role in modern visual communication. Font design is an effective means of expressing creativity. Designers should deepen the application of text in graphic design. Research to bring typography to a new light in graphic design [2].

Fonts have always existed along with the development of human history, carrying cultural information dissemination. The characters of each era carry the style of the era at that time. With the evolution of history, in order to be more conducive to the dissemination of information, the characters are gradually simplified, but they contain its cultural heritage is still profound, and font design has gradually formed an artistic discipline in the historical river. Variable font design is a branch gradually derived and subdivided from variable graphic design [3]. The English definition of variable graphic design is Motion Graphics, which is the product of the wide application of computers and the prosperity of the Internet. From a design perspective, variable graphic design is an interdisciplinary research field between the three visual research directions of graphic design, animation art and information design. It increases the audience’s multi-sensory design and interactivity, and can fully meet the audience’s visual communication needs. Therefore, in film and television, brand publicity, poster design, installation art, and web page information are used in many visual communication fields. It is an art form created by visual information communication design and information technology software application.

The comprehensive application of artificial intelligence technology and new media interactive art is the combination of technology and art [4, 5]. The new media interactive art expressed through artificial intelligence technology is mainly the interaction between computers and people, so the new media interactive art performance under artificial intelligence is mainly human and computer interaction technology. Human-computer interaction art represented by interaction design is a new form of artistic expression. It can not only realize normal human-computer interaction, but also bring good artistic experience to users through various senses and psychology of the human body. With the continuous development of human science and technology, the manifestations of interactive art are also constantly developing, and gradually become the needs of people’s lives. The manifestations of interactive art are also constantly developing and gradually become the needs of people’s lives.

The mobile augmented reality system in this article consists of a mobile device camera, feature point matching module, tracking registration algorithm module, model database module, model rendering module, display interaction module, etc. The main workflow of a mobile augmented reality system is as follows: first, the camera of the mobile device is used to obtain information about the real scene. Secondly, the target object that needs to be matched in the real scene is searched based on feature points. Then, based on the registration information obtained during the tracking of the target object, the corresponding virtual information is selected from the model database and displayed. Finally, the virtual and real combined image is displayed on the mobile device display screen.

In dynamic augmented reality systems, the correct registration of virtual models requires camera calibration. Camera calibration is a technique that uses images captured by cameras to restore objects in real space. The implementation of camera calibration technology requires establishing the relationship between the pixel positions of camera images and the spatial positions of scene points. The approach is to solve the model parameters of the camera based on the image coordinates of known feature points and world coordinates. Among them, the model parameters of the camera are divided into internal parameters and external parameters, and the internal parameters of the camera, namely camera calibration, are determined by solving. The imaging model of intelligent mobile devices is usually a pinhole imaging model, which is a linear camera imaging model. The imaging principle of mobile intelligent devices involves various three-dimensional coordinate systems as well as two-dimensional coordinate systems (world coordinate system, camera coordinate system, image physical coordinate system, and image pixel coordinate system)

The main contribution of this article is to propose an improved image enhancement algorithm based on spatiotemporal theory and design an enhancement method for image details. In the experimental testing phase, the new method not only maintains the important features of the image, but also enhances the details, and the enhancement effect is very obvious. On the basis of image denoising processing, the steps of color correction and interpolation to supplement image contour details have been added, thereby solving the problem of extracting image texture details in traditional methods, improving image quality and clarity, and laying the foundation for enhancing multi frame planar images.

2. Related work

Today, with the rapid development of science and technology, it is called the multimedia age, the network age, and the digital age. Digital technology has penetrated into all areas of the art of visual communication design. The wide application of various professional design software in modern graphic design has brought us brand-new creative methods and art forms.

Figure 1.

Basic cycle models in the visual communication design process.

2.1 Artificial intelligence technology in visual communication

As shown in Fig. 1, the basic cycle model and schematic diagram of the design process for visual communication. The basic design cycle model fully demonstrates the continuous trial and error process in the design process, and generally it takes multiple cycles to get the best solution.

(1)
Determination of standards. Designers collect data on communication personnel, content, channels, audiences, and expected results, and then analyze them to determine visual standards.
(2)
Determination of the design framework. Designers have a design framework in their hearts. This framework is obtained by designers through previous training and work experience. In fact, it is the specific design process for different design results mastered by designers in the creative process.
(3)
Determination of style and tone. Different directions and overall tonality are determined by content.
(4)
Use element determination. This requires that the design and creation elements include background, text, mask and decorative materials according to the style.
(5)
Arrange the layout. The overall process is the process of making, starting with a series of actions to achieve the visual design.
(6)
Adjust the details. Finally, after the visual satisfaction is adjusted, the design results can be produced, and the visual design is basically completed.

In the actual operation process, not all the creative processes are realized according to this order. For example, a mature designer in a certain field first realizes the creative thinking concept, and then integrates his own experience and knowledge to realize the creation, but in fact he has already Make the first round of basic design virtual in mind, directly realize design iteration, and develop creative thinking. But it does not mean that designers do not need to make basic designs at this time, but to analyze creative thinking and integrate creativity into basic designs to realize production [6, 7].
2.2 The development of visual communication design in the digital age

As a part of modern design, visual communication design is destined to be inseparable from production and consumption. Its content covers a wide range and involves all levels of public life. Today’s society has entered a “information age”, it is an intangible design, information has different meanings in different research fields, as shown in Table 1.

Table 1
Non-material design in the information age

Number	Subject	Information meaning
1	Physics	Data that is arranged in a certain way
2	Philosophy	The reflection of the objective things
3	Communication	A unity of symbol and meaning

The responsibility of the visual communication designer is to convey information to the audience with visual images. However, the social life we live in has undergone new changes with the development of the times. The advancement of science and technology has provided a wider and wider development space for visual communication design, especially after entering the information society, digital media represented by computers and networks have given visual communication design freedom in various forms of expression, but also raised new challenges. The rapid development of mass media has created a rich and colorful visual image environment, making viewers accustomed to being surrounded by visual images, accustomed to consuming and living under the influence of visual images, and the audience’s lifestyle, consumption needs, and values. Digital media has changed the consumption concept of passive acceptance by consumers in the past. The Internet has become an interactive platform for designers and audiences to communicate, and consumers are more willing to express themselves. How to make the visual image more attractive and more quickly and easily convey the information content? How to grasp the preferences of many changes? This has become a new problem faced by visual communication designers.

To solve this problem, we must re-examine what the audience wants to see, how the audience “watches” and the subtle psychology in the “watching” process in the digital environment. How people perceive objects through vision involves many disciplines. Biology and medicine explain the physiology of how the human eye sees visual images, and it involves psychology to understand how people see and process visual images. Traditional psychology divides the relationship between thinking and perception, and takes “perception” and “thinking” as research objects, respectively forming “perception psychology” and “thinking psychology”. At the beginning of the last century, gestalt psychology, which originated in Germany [8], first broke through the strict boundaries between perception and thinking. The starting point of the study of gestalt psychology-“Gestalt”, is the transliteration of German gestalt, and is also called “shape” and “Gestalt”, the latter can better represent the original meaning of Gestalt. gestalt psychology refers to the shape as “the whole in experience organized through perceptual activities”, any “shape”, is the result or function of the active organization or construction of perception, not the object itself. Wertheimer, the founder of gestalt psychology, not only did a lot of experiments for this, but also proposed a series of organizational principles for perceptual structures, and extended Gestalt to the study of creative thinking. On the basis of Wertheimer’s theory, art psychologist Rudolf Arnhem further explored the rational function of vision, and proposed the important role and significance of “visual imagery” in all thinking activities, especially creative thinking activities.

2.3 The media evolution of visual communication

Visual communication is a complete process of information dissemination, and the development of communication media largely determines the development of visual communication. As a kind of communication behavior, visual communication design must be communicated to the audience through various media. Visual design has always been accompanied by scientific and technological revolutions, the invention and application of new energy and new materials, and new design fields have been generated and disciplines produce more intersections.

In ancient times, the roars of ancestors when hunting relied on the carrier of sound, and the knotting of notes relied on the common straw ropes around people murals, bamboo slips, and silk were all used as the carrier of information dissemination in the process of human development with playing a big role [9, 10]. The invention of paper is an important milestone in the development of communication media. It has become the most frequently used, most convenient and longest-lasting medium in history. It was also considered an irreplaceable medium forever. It has the characteristics of low cost and easy preservation until today. It remains one of the important communication media. Through paper, the history of human development is recorded in detail, and human civilization can be passed on [11].

With the invention of paper, printing technology was born. In ancient China, woodblock printing was invented in the Sui Dynasty [12], and movable type printing was perfected by Bi Sheng in the Song Dynasty, and later spread to Europe through the Mongols. Around 1450, Gutenberg, Germany, was influenced by Chinese movable type printing and made movable type with pinyin characters from alloys, which were used to print books. Based on a machine design he improved from a wine press, Gutenberg developed the use of raised movable type, using oil-based ink from the start [13].

In the 19th century, the mechanization of woodblock posters and typesetting technology, and the development of major technology in color lithography greatly increased the amount and breadth of information dissemination, and brought great opportunities to the development of visual design. The development of commodity economy also promoted the public.

In the late 19th century, photography was born as a new medium, which enriched people’s ability to describe things and also increased the means of visual design [14]. Artists used different media and actively tried different visual effects, such as surreal the figure photography of Dadaism, the photo collage of Dadaism, the cubism of abstract photography creation with kaleidoscope.

Before and after the First World War, due to the needs of political propaganda and economic development, a large number of posters conveying political intentions and commercial messages were designed and widely disseminated [15]. As a part of the mass media, magazines have gradually developed from mass magazines to specialization and targeted users.

In the 1950s, when corporate image design prevailed, CBS gradually established a healthy and progressive corporate image through radio transmission, visual reception, and real-time update, attracting a large number of audience users, and became the largest in the United States [16]. Since then, all walks of life have carried out a large number of corporate image designs and achieved good results, promoting economic prosperity. In the following half century, newspapers, magazines, radio and television have become the main media for disseminating information, and mankind has entered the era of mass communication.

At the end of the 20th century, a new technological revolution came, and computers and the Internet gradually entered people’s lives [17]. Digital technology and the Internet gave birth to a large number of new media. New media such as websites, Weibo, WeChat, blogs, and outdoor screens rapidly The development of traditional mass media has had a huge impact on the traditional mass media, forming a coexistence and interaction situation in which traditional mass media and new media develop alternately. Compared with traditional media, the speed, breadth and depth of new media have been greatly improved, making the amount of information disseminated in an "explosive" saturated communication, becoming a new design field for visual communication, and visual communication has entered the new media era.

2.4 Functionality of information communication visualization

Visualization of information communication is accurate. It is a design behavior for the purpose of organizing and transmitting information in the early stage. To make visual materials clear and easy to understand, it must be more accurate and purposeful than general design. In this way, the information is more vivid and interesting than charts, text lists, etc., so that the main information and useful information can be transmitted to the viewers, so that the viewers can avoid “information explosion” in this social environment with huge information [18].

The visualization of information communication is beautiful. As the name implies, the visualization of information communication is to visualize the information. It must be more beautiful and ornamental than the general information chart. After attracting the attention of the audience, how to convert the huge information content presented in a vivid and interesting way, on the premise of ensuring the accuracy of the information source in the early stage, how to strike a balance between visualization and information communication has become an important argument for information design visualization.

Visualization of communication is efficient, Swiss designer Cybu.Richili believes that reducing the visual stuff can easily increase the distance between the reader and the subject. We have to make sure that things are easier to understand through visualization, while information visual under the premise of ensuring the accuracy of information, studying the visual preferences of the audience can quickly attract the attention of the audience [19]. The information design is fundamentally people-oriented. User-centered design is guided by research. Understand the needs, behaviors and expectations of your target audience. Compared with traditional design, information visualization design greatly improves efficiency. The emphasis is on iterative testing, analysis and refinement to help design teams find previously unforeseen problems and propose solutions, creating informative visual designs that help people improve the way people work, learn, and play.

The visualization of information communication is intuitive. The designer should clearly express the primary and secondary logic of the content in the work, and guide the viewer’s line of sight to easily receive the information. Just like communication, accurate communication of information will make the other party stunned. It requires designers to continuously analyze and understand the audience through multi-disciplinary knowledge such as psychology and communication, and then use favorable information to communicate to divide the visual level of information, which promotes and communicates. Guide the audience to receive important information and make judgments, so that the audience’s understanding of the content can be obtained in san easier way to obtain the originally complicated text data, as shown in Fig. 2.

Figure 2.

The functionality of information communication visualization.

2.5 Information communication of glyphs under variable fonts

There are many kinds of Chinese fonts on the Internet now, and there are many very popular and commonly used Chinese fonts, but these fonts are printed and drawn in traditional media more than in new media. With the development of media forms, traditional media has experienced unprecedented impact, and with the strengthening and improvement of its own functions, people inevitably increase their dependence on the Internet to obtain necessary information and understand the outside world. Therefore, font changes not only affect the efficiency of information transmission, but also affect the specific content of information transmission. In this way, the fineness, size and style of the entire Chinese character must be adjusted and modified on different occasions. This helps to better design Chinese fonts to convey information and artistic aesthetics [20].

There are two main aspects to the use of Internet resources for variable Chinese character design: first, pure glyph innovation, the principle of which is almost the same as the static design of Chinese characters Second, the design of innovative glyphs from the perspective of graphic animation. Innovation has always been an area that designers attach great importance to [21]. On the communication platform of network and video media, designers hope that through their efforts, they can ensure that their own works can make the public feel different visual feelings.

Among the innovative design methods of glyphs, breaking up is a very common method. Designers recombine different elements, and each element has its own personality. When the elements are recombined, they are created by different arrangements.

3. Extraction of visual communication elements

Dynamic font design is the arrangement and integration of design elements such as shapes and shapes in a constantly moving and changing state, in order to better disseminate information and improve aesthetic characteristics, and the addition of other elements such as sound to make it move in a rich and colorful form. From the perspective of visual communication, font dynamic design is a design of dynamic expressions in the temporal dimension. Dynamic fonts follow the concept of flat graphics in concept, and have the characteristics of animation design and visual lens language in time expression, making them a comprehensive visual art. In static design such as layout, glyphs, colors, and composition, it is necessary to follow the rules of graphic design; In the field of time and movement, it is also necessary to conform to the general laws of movement. Therefore, dynamic font design is the process of “designing a font into a dynamic font”, strictly defined as “the design of a font that moves and changes with the flow of time”. It involves multiple knowledge structures such as graphic design, dynamic design, and information design, and is the dynamic manifestation of a font in the spatial and temporal dimensions.

The grayscale of the image obtained by the visual system differs from the grayscale of surrounding pixels, making it more sensitive than the absolute grayscale of the target itself. Therefore, based on the theory of spatiotemporal filtering, a method for enhancing image details is designed.

Low frequency information in visual images is the main energy, containing the most basic parts of the image and occupying most of the image details. Therefore, to enhance visual images, it is not only necessary to maintain the authenticity of the original image, but also to ensure that the processed image edges are clearer. Starting from practical application requirements, this article conducts theoretical research on image enhancement technology to identify the problems in processing fine parts of images. Combined with the theory of feature deep fusion, a new enhancement algorithm is proposed to process the edges of visual images and design enhancement methods for different imaging characteristics.

The visual communication and expression scene is the application basis of interactive art. The general scene is composed of multiple basic scenes, and each basic scene is divided into different composition frames according to the type of interactive art of visual communication. The visual communication expression scene in this paper is mainly composed of user information communication scene, interactive art push scene, interactive art promotion scene and personal service scene, as shown in Fig. 3.

Figure 3.

Schematic diagram of visual communication interaction scene.

3.1 Interaction complexity calculation

The interaction complexity is mainly divided into time complexity, space complexity and resource complexity. In this paper, the interaction complexity is calculated, which is mainly used in the extraction of interaction elements. Under the condition of available computing resources, the content.

In this paper, the interaction content is used as the basis of complexity calculation, and the main application of the calculation principle is the communication complexity theory. In the process of realizing the theory, it is necessary to substitute two independent interactive complexity calculation systems into the same parameter system, and complete the quadratic function calculation of complexity according to the interactive calculation protocol in the parameter system. The single-item interactive element of complexity has weak computing power, but the implementation process of this calculation method is relatively simple, and the process of extracting interactive elements is rarely disturbed by other elements. If the extraction process of a single element is set to $n$ , the formula for calculating complexity is as follows:

$\displaystyle(n+1)-\text{GIP}\cdot{M}=n\left({M}_{1},{M}_{2},{M}_{3},\ldots,{M% }_{n}\right)$ (1)

In the formula, GIP represents the interactive state product of $n$ , and $M$ represents the computational pattern concept of complexity. The $M$ pattern in the formula is conflict-free with other algorithms, and can share interactive element parameters with other algorithms. This property can effectively alleviate the access conflict of shared interactive elements, thereby ensuring the effective calculation of element complexity. AC operation is performed on any $M$ in the above formula, and $C$ is defined as the sum of the number of times of cache computations between the startup times of the interactive element and $M$ .

Operation is performed on any $M$ in the above formula, and $C$ is defined as the sum of the number of times of cache computations between the startup times of the interactive element and $M$ . In the calculation process, first consider the limit of the number of $C$ , set $C=a_{1}$ , $a_{2}$ , $\ldots$ , $a_{n}$ . Let $K_{0}=$ 0, $k$ is the complexity calculation coefficient, and it is determined that C can perform effective operations on the basis of $M$ . In order to cope with the complexity calculation of interactive elements in various situations, this paper cites the theory of zero-interaction element complexity calculation, time complexity calculation theory, and space complexity theory. The corresponding proof formulas of the theory are as follows:

$\displaystyle L=\left(L\cap\left(\sum L_{n}\right)\right)\cup\left(L\cap L_{n}\right)$ (2) $\displaystyle L=a_{1},a_{2},a_{3},\cdots,a_{n}$ (3)

In the formula, $L$ represents the application language in the complexity calculation process, and represents the general term for the types of interactive elements.

3.2 Interactive element extraction

The visual communication interactive artistic expression elements based on artificial intelligence technology are fundamentally different from the traditional visual communication expression elements. This paper extracts the visual communication interactive artistic expression elements based on digital technology, mainly from visual elements, multimedia elements, human-computer interaction elements.

The extraction of visual elements can be directly performed by human vision without complicated procedures. Visual elements can include text, images, colors, etc. Text is an important embodiment of interactive art, including the transmission of aesthetics and information. Text has the characteristics of occupying less space and conforming to the habits of human beings to obtain information Images are the new language of visual elements, which can overcome language barriers and space barriers, bringing visual elements a more intuitive form of expression Color is the best form of art expression, which can indirectly enrich people’s thoughts.

The extracted content of multimedia elements mainly includes sound, video, animation, 3D imaging and so on. The beauty of sound can directly bring people a certain sense of experience. In the process of sound element extraction in good new media interactive art, complexity calculation is used to eliminate the interference factors in the sound, and the selection and configuration of sound factors are interacted. Computing, so that sound processing, and music background processing can be carefully screened by complexity calculation video is the real process of recording interactive art, and complexity calculation can highlight the appeal of multimedia elements; animation and 3D imaging are both in recent years. The emerging multimedia elements can bring more intense sensory impact to customers. In the overall creative process, except for the links that cannot be replaced by human designers, artificial intelligence technology is used as much as possible to achieve high-quality and efficient design, as shown in Fig. 4.

Figure 4.

Visual communication process under digital technology.

Human-computer interaction elements mainly include control elements and interactive artistic expression navigation. The human-computer interaction elements extracted by the complexity calculation have certain characteristics of interpretation, consistency, uniqueness and common sense, which greatly facilitates user’s operating experience and enhances the user’s understanding of interactive art.

3.3 Interactive expression topology computation

The spatial structure operation of topology in computers has gradually matured, and the theory of topology also plays an important role in interactive computing. This paper will apply the continuous truing machine principle in topology to design the expression of visual communication interactive art.

Continuous truing machine is built on the basis of truing machine, which has stronger expressive ability than truing machine. Continuous truing machine has output band, input band and working band. To realize the calculation process, it is necessary to input at least two sets to the input band and the output band. The elements of I, let the set of elements be I and O, then define two sets as:

$\displaystyle X=\left\{{s},{s}=i_{1},i_{2}\ldots i_{n}\ \textit{is wireless % sequence on}\ I\right\}$ (4) $\displaystyle Y=\left\{{s},{s}={O}_{1},{O}_{2}\ldots{O}_{n}\ \textit{is % wireless sequenceon on}\ O\right\}$

Because of the limited limitation of set parameters, it is necessary to apply the mapping principle to perform set operations on the input values. The definition of the calculation program inside the continuous machine can be understood as the numerical equivalent exchange of mapping $f_{x}$ , as shown in Fig. 5, which is the equivalent exchange diagram with the calculation parameters of $f_{x}$ , when the content of the first mapping condition in the workspace is blank When the output value is 0, when the content is not blank, thse output value is 1. The sequence of fx can be conveniently written.

Figure 5.

Equivalent exchange diagram of $f x$ and calculation parameters.

3.4 Hardware composition of the platform

Figure 6 shows the visual development platform in the design process. This platform can effectively simulate the actual production process, and can also transplant the software to the industrial production line through the visual system.

Figure 6.

Vision development platform in the design process.

3.5 Visual interactive expression based on digital technology

In the process of actual industrial production, the movement of the turntable is also a unit of automatic operation, and this visual development platform is also the movement of the turntable. Figure 7 shows the machine vision development platform for turntable motion. The machine vision system tested on this platform can also be used in practice. The development platform can reduce the development time of developers in the actual production process, and can also directly debug the machine vision system in the production line, effectively shortening the debugging time.

The expression of interactive art of multimedia elements on topological structure has diversity, overlap and space. The expression methods used are based on the principle of user-centered. First of all, it is necessary to determine the target users, provide different types of interactive artistic expression services for different types of users, and provide users with humanized services. The basics of interactive artistic expression. It can analyze and control the user’s information to create a better interactive page. The interactive artistic expression of multimedia elements based on the topology structure of the user can be reflected in the visual, tactile, auditory and other sensory aspects, and these elements are interlaced and layered. If users are to be fully immersed in multimedia interactive art, it is necessary to create strong visual stimulation for users, and the coexisting visual effects such as visual composition, picture color matching, and modeling scenes should be used in the topology structure to create an immersive experience for people. The feeling of the environment, the establishment of visual three-dimensional space and multi-dimensional space.

Figure 7.

Turntable motion machine vision development platform.

Audible interactive artistic expression requires the integration of sound into interactive artworks, and the use of topology to convey information in multiple channels. The sound element is both an input element and a display element of multimedia. Forms are fused, so there is a certain flexibility in the application of sound elements in the topology.

Compared with traditional interaction methods, the interaction of tactile elements has made great progress. It allows users to feel the tactile stimulation in a state of visual and auditory satisfaction, which can greatly improve the effect of interactive artistic expression. The extraction and expression of the above elements in the topology structure is significantly improved compared to the traditional interactive artistic expression effect.

4. Experiment and analysis

The interactive expression of visual communication under artificial intelligence has become the future development trend. The traditional interactive expression of visual communication is no longer easy to meet people’s needs. This paper designs the interactive artistic expression of new media based on artificial intelligence technology, improving the traditional way of expression. In order to verify the effectiveness of the expression method designed in this paper, this paper sets up experiments for research and comparison. The experimental environment is shown in Table 2.

Table 2
Lab environment

Project	Parameter
Programming language	Matlab
Working hours	10 s
Number of experiments	5
Operating system	Windows10
Operation bus	RS485
Operating platform	Human computer interface

In the process of designing the expression method in this paper, it needs to go through five steps: preprocessing, concept unification, user question processing, information extraction, and intelligent identification, and finally provide users with a multi-element interactive art experience. The flow chart of the experimental process is shown in Fig. 8.

Figure 8.

Experimental process diagram.

4.1 Experimental preprocessing

The main work content of the preprocessing stage includes statistical processing and induction of all the data of the user, so as to achieve a process that can be recalled and adjusted at any time. The main task of the concept unification stage is to calculate the concept of interactive elements based on the complexity of the format. Unified processing is carried out on the above to facilitate the application of interactive artistic expression later user query processing mainly answers and stores users’ questions, and analyzes the reasons for user’s problems and counts the number of questions, so as to improve the accuracy and flexibility of interactive artistic expression Information extraction mainly extracts parameter information based on topology structure, intelligent identification is to bring users a better sense of experience, intelligently identify the interactive needs that users will need, shorten the extraction time of interactive elements, and improve the flexible operation speed of interactive expression. Figure 9 shows the information extraction diagram based on topology structure.

Figure 9.

Information extraction diagram based on topology structure.

The extraction of expression and interaction elements of traditional new media interactive art mainly adopts the coordination between network digitization and manual work, while this paper uses artificial intelligence technology to extract interactive elements. Therefore, within a fixed time of 6 seconds, the extraction process is quantified and the amount of extraction is compared. The comparison table of the extraction speed of interactive elements between the network-manual coordination method, the big data interactive artistic expression method and the method in this paper is obtained. The training process performance improvement and loss convergence curves are shown in Figs 10 and 11.

4.2 Extraction speed comparison

The inheritance of writing is the most important inheritance of a culture. The main function of the text is to deliver the information. The text itself carries a lot of information. The information that we generally get through reading is conveyed by the text content, so readability is the primary principle of font design. According to modern design concepts, readers should not be aware of the existence of fonts. The font itself should be like a transparent glass, just a container used to display and organize information.

Table 3
Comparison of the extraction speed of interactive elements

Iterations	Benchmark	Manual coordination	Digital technology
1	65%	55%	100%
2	62%	60%	99%
3	62%	65%	99%
4	65%	62%	100%
5	100%	62%	99%
6	97%	71%	85%
7	96%	59%	94%

Figure 10.

Training process performance improvement schematic.

Figure 11.

Training process loss convergence curve.

As shown in Table 3, comparing the extraction amount of the three methods, it can be seen that in the first and fourth iterations, the method in this paper can achieve 100% extraction, and in other experimental verifications, the extraction amount is higher than other methods, indicating that this paper. The extraction speed of the method has been verified. The method in this paper can extract the content of interactive elements faster. In this paper, the complexity calculation is used to extract the interactive elements, which solves the problem of slow extraction of interactive elements from the perspective of time and space. The iteration time is shown in Fig. 12. It can be found that the time consumption has been greatly reduced.

Figure 12.

Iteration time.

4.3 Comparison of flexibility

The big data interactive art expression, the network -manual coordination interactive art expression and the interactive art expression designed in this paper, the results are shown in Fig. 13.

There are two main aspects of variable font design using digital technology: first, pure font innovation has almost the same principles as static character static design; second, from the perspective of graphic animation. The innovation in these two fields is always a field highly valued by designers. On the communication platform of network and video media, designers hope to ensure that their own works can make the public feel different visual feelings.

According to the comparison results in Fig. 13, the interactive art expression method designed in this paper is more flexible. This paper adopts topology calculation. Based on the topology structure, the expression method of interactive art can be expressed at any level, regardless of time and space. The constraints of big data interactive art expression and network-manual coordination interactive art expression need to be applied at a specific time or place.

Figure 13.

Comparison of the flexibility of interactive expressions.

In the image enhancement processing module, different frequency domain filter programs are called by selecting and adjusting the parameters set on the interface, and finally their sharpening enhancement effects are compared. In addition to applying high-frequency filters in the frequency domain, various sharpening filtering operators in the spatial domain were also used to extract image edges and enhance them by overlaying them with the original image. At the same time, the processing results were compared to obtain the characteristics of different processing algorithms. In order to improve the intuitiveness of the demonstration, a large amount of image processing results were compared throughout the process, mainly based on the design of modifying and selecting image function parameters provided by the image toolbox, which achieved good results. In addition, in the color enhancement processing module, a function is provided to determine whether the read image is a grayscale image or a true color image when reading an image. This allows for flexible selection of different processing methods based on the type of image being read. It also has great friendliness and interactivity on the graphical interface. The design of dropdown menus and buttons enhances the system’s reusability. Not only is the operation simple and convenient, but the image display is clear and beautiful; There is also a tracking prompt function for system status, which will prompt error messages for invalid parameters entered by the user. From this perspective, image enhancement technology can effectively improve the practicality of design practice and user experience.

5. Conclusion

The connotation and form of visual communication design are never static, but constantly change through the development of technology and the times, and some old design forms will even die out with the development of productivity. Viewers have also become accustomed to high-quality visual images and creative visual communication design works. As predicted by this article’s discussion of the development of media related to visual communication design, visual images will only confuse our visual senses more and more, and the boundaries between reality and vitality will be blurred. In any case, the designer is destined to go before the audience watching, guess what the audience likes to see, anticipate all possible reactions after watching, and constantly create new ways to express design intentions in a modern society where visual images are changing and dazzling.

The research of artificial intelligence in interactive art is in its infancy. In order to better express interactive art, it is necessary to integrate artificial intelligence and art. In this paper, artificial intelligence technology is used to enhance the expression of interactive art. In a fixed time, the method in this paper can achieve 100% extraction, and the degree of flexibility of interactive expression. From the extraction and application of interactive elements, human-computer interaction art has become an overall. In the future, we plan to analyze and study the elements of visual communication in variable type design in the context of digital technology with recurrent neural networks.

In the experimental testing phase, the new method not only maintains the important features of the image, but also enhances the details, and the enhancement effect is very obvious. However, there are still some issues in the article that need to be further improved and summarized. This time, only simple parameter indicators were used to evaluate the effectiveness of the enhancement method, without completing systematic analysis based on specific application scenarios. We will continue to focus on this area and conduct research on establishing a more comprehensive image evaluation system, contributing theoretical support to the development of image enhancement technology.

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Analysis of visual communication elements in variable font design from the perspective of digital technology

Abstract

Keywords

1. Introduction

2. Related work

Table 1 Non-material design in the information age

2.4 Functionality of information communication visualization

3. Extraction of visual communication elements

Table 2 Lab environment

Table 3 Comparison of the extraction speed of interactive elements

References

Table 1
Non-material design in the information age

Table 2
Lab environment

Table 3
Comparison of the extraction speed of interactive elements