Research and application of Augmented Reality Technology and digital media Technology in mobile visual media

With the wide application of digital media technology and augmented reality, in order to enhance the design experience of mobile visual media design. This paper uses domain processing, point processing, big picture processing and model processing in numerical algorithms, construction of visual media images based on additive and multiplicative models, integrating the SOR model with the EDT model, build PLS model. Depending on the interactivity, patios-temporal fixity and degree of immersion of the virtual object, analyze the results of PLS experience conceptual model construction by combining system characteristics and cognitive elements of mobile visual media design. To explore the mechanisms by which digital media technologies and augmented reality technologies influence the design factors of mobile visual media, and evaluate the measurement model and structural model. The results of the evaluation found that accuracy 0.325, flexibility 0.472 and completeness 0.328 positively and significantly influenced information quality (R=0.697), system quality (R=0.52) and service quality (R=0.741). The system quality, information quality and service quality of the mobile visual media design products are guaranteed.


Introduction
With the wide application of digital media technology and augmented reality, it provides an opportunity for technological innovation in mobile visual media design [1][2][3][4][5].In this paper, the SOR model is integrated with the EDT model, and the system characteristics and cognitive elements of mobile visual media design are combined to construct a conceptual model of experience and explore the mechanism of the role of digital media technology and augmented reality technology in influencing the factors of mobile visual media design [6][7][8][9].In the digital media context, it is necessary to innovation the content and forms of mobile visual media design, and promotes the dynamic development of mobile visual media design by constructing models and designing dynamic texts [10][11][12][13].In the augmented reality environment, dynamic visual media design has formed a new way of expressing information by shifting from one-way delivery to interactive delivery methods and highlighting the advantages of concise and clear design [14][15][16][17].The application of digital media technology and augmented reality provides a complete understanding of the current in terms of mobile visual media technology.
For mobile visual media design aided by digital media technology and augmented reality, most of the existing studies have focused on the basic theory of mobile visual media design, digital media technology and augmented reality technology development, and model mechanisms [18][19][20].The existing studies on user behavioral intention of mobile visual media designers are mainly based on use and satisfaction theory or technology acceptance model, integrating relevant quality dimensions and cognitive dimensions, combined with information-related scales to explain mobile visual media design user behavioral intention, etc.For example, the literature [21] studies explain how digital technologies shape executive cognition through the combined impact of digital platforms and applications, service innovations, and executive functions, conceptualizing the executive of a digital organization as a platform for cognitive restructuring in a rapid and innovative manner as it engages with digital technologies.The literature [22] explores how digital exclusion, as measured by the extent to which citizens use digital media and their skepticism of digital media, affects their satisfaction with democracy.The literature [23] describes patterns and levels of SMA and IGD in the general population in everyday life, testing the association between long-term digital media use and SMA and IGD, and the mediation of these associations by psychosocial traits.The literature [24] presents a concept of multisensory virtual experiences through technological evolution using realistic technologies, where the conceptual perspective and technological solutions emphasize the need for organizations to have technology.The literature [25] developed an implicit, behavioral measure to test the relationship between ESRP and ESLP fear, positive thinking, and key psych behavioral processes.In summary, there is a lack of systematic and in-depth rigorous research on user behavior intention for mobile visual media design.In response to the emerging field of applying digital media technology and augmented reality to mobile visual media design, there is a lack of widespread attention to mobile visual media designers' intention to act and few experiments with the application of digital media technology and augmented reality.
To enable a better user experience for designers of mobile visual media influenced by digital media technology and augmented reality.In this paper, we construct visual media images based on the additive and multiplicative models, and integrate the SOR model with the EDT model to establish a conceptual model of PLS experience.Based on the User Experience Influence Factor Scale, the PLS experience concept model evaluation results for mobile visual media were calculated by combining the data of cognitive elements, emotional experience and missing test results.An empirical analysis of which design features and their constituent dimensions are key factors influencing the user experience of mobile visual media design.To explore the effect of the mechanism of the role of digital media technology and augmented reality technology on the user experience of mobile visual media design.In order to provide theoretical reference and practical guidance for mobile visual media designers, so as to take effective measures to improve the design experience and optimize the design value.

Digital Media Technology
Digital media technology, mainly based on computer technology, Internet technology and other network information technology.Relying on the binary way, carry out digital processing of information media technology.Digital media technology is mainly composed of digital processing technology, multimedia technology, network transmission technology and other technologies, which can realize the transmission, storage, recording and presentation of data and information, and show the characteristics of digitalization.

Processing of Media Digitization
Media digitization refers to the fact that digital media technology can integrate and process complex and large data information with the help of digital technology and present it in an orderly digital form.As shown in Figure 1, the process of digitizing media is the process of converting a picture into a form that can be processed by a computer, i.e., a digital image.This process not only creates a great convenience for organizing and storing data and information, but also significantly improves the data confidentiality and security.

Figure 1. Digital Media Technology Application Image Operation Process
A digital image is stored in a matrix in which the center of the pixel in the upper left corner of a digital image is the origin, and the matrix algorithm of a digital image is shown below: (1)

Specific Algorithms for Digitization
In the processing field, for any pixel , he set of pixels surrounding that pixel, when is taken as a suitable integer is called the field of that pixel, and the field processing expression is shown below: When the input image is processed, IP(, ) a certain output pixel JP(, ) value is determined by the pixel value in the input image pixel (, ) and its neighborhood *IP(, )+.This processing is called local processing.The expression for local processing is calculated as: (3) In local processing, when the output value is related to only, it is called point processing.The expression for the calculation of point processing is: In local processing, the value of the output pixel depends on the value of a large range or all pixels of the input image, and this processing is called global processing.The expression for the calculation of the global processing is: ( The impact of digitization on visual media can be divided into two categories: additive model and multiplicative model.Where let (, ) be the ideal visual media image, (, ) be the digitization influence, and the actual output visual media image is (, ).
In the additive model, the introduction of digital media technology is related to the magnitude of the clarity of the visual media, which varies with the magnitude of clarity.
In the multiplicative model, the introduction of digital media technology is related to the intensity of the visual media, which varies with the intensity of light. (7)

Key Technologies of Augmented Reality
Augmented reality is an emerging technology that superimposes computer-generated virtual information onto the real world where the user is, and is an important branch of virtual reality technology.It improves the user's perception of the real world and provides a new way for humans to communicate with the world, and has received a lot of attention from researchers in recent years.
There are two definitions of augmented reality, one is proposed by Mailgram P and Kushiro F: placing the real environment and the virtual environment at two ends, where the one close to the real environment is called augmented reality, the one close to the virtual environment is called augmented virtual, and the one located in the middle is called mixed reality; the other is defined by Azuma: characterized by the combination of virtual and real, real-time interaction and three-dimensional registration, using additional pictures The other is defined by Azuma: a technology that enhances the real world by using additional pictures, text information, and virtual reality.Unlike virtual reality, augmented reality technology uses three-dimensional tracking and registration technology to calculate the position of virtual objects in the real environment, and realizes the enhancement of the real world by bringing virtual objects or information from the computer to the real world.With the development of technology in recent years, augmented reality technology is widely used in many fields such as industry, military, medical and education.

Tracking Registration Technology
This technique can be implemented by editing instructions or downloading resource packages to import data content, etc. through the technique.In this step it is necessary to set up multi-level and multi-target processing for two-way operation.Augmented reality technology mainly transforms real data in visual media into virtual data, compiles the corresponding data protocols, adjusts the original display image into segments, sets a data recognition node in each segment with the same distance between nodes and the area recognized is covered in the same direction.Combined with the augmented reality interaction technology, plus the processed image, the superimposed enhancement difference needs to be calculated, the specific formula is shown below: In order to find the optimal parameter vector in the discriminant function, the quadratic optimization problem needs to be solved using the following formula: Enables: (10) The training sample , the training sample is trained as a support vector, from which the optimization parameter: (11) In the formula, denotes the superimposed enhancement difference, denotes the virtual key range, and denotes the limit recognition constant value.By the above calculation, the actual superimposed enhancement difference value can be finally obtained.Within the original recognition range, the specific layout of the image can be adjusted to the resulting superimposed enhancement difference value, and the format of the image can be adjusted.Using augmented reality technology, virtual buttons are constructed in the management platform to obtain information and also to convert real data to virtual data and set the format of the images.

Recognition Editing Technology
In the test environment built above, the specific debugging tests were started.Adjust the recognition control range of the virtual button, set the import format of the picture resource column, adopt the interactive replacement mode in augmented reality technology to replace the non-conforming content in the A picture, the set subset of pictures, write the integrated picture code using C language, carry out the setting of the integrated publication overlay recognition architecture, click the virtual button in the platform, reconstitute the installed picture environment components, and construct all the reality visual media resources for data scenes.In order to enhance the reality compatibility of the A picture, the overlay limit value of the picture needs to be adjusted, which is roughly 0.32~0.68,and the editing of the A picture is completed with the aid of augmented reality technology interaction mode.Based on the above calculation, the calculation of the two-way jump value is carried out as shown below: (12) In the formula, denotes the two-way jump value, denotes the number of contacts, and denotes the switching range.Through the above calculation, the actual two-way jump value can be finally derived.

Normalization Techniques
Image normalization is a necessary operation for image editing and can improve the efficiency of production extremely fast.Let the optimal solution of image feature points be , the initial point is are the coordinates of the feature points in the image.
The following is the step size according to SDM: If and denote the path of each iteration, the function is able to converge the feature points from the initial value to .(15) The set of images is In the process of image feature set training, the set of manually calibrated feature points is , and let the feature points of each image are .The feature point localization for the images can be transformed into a linear regression problem.The input features for this problem ( ) , are the SIFT feature function at , and the result is to obtain the step size from to iterations, with the objective function : (16) Thus and are obtained from the training set, and are obtained after several iterations, which are expressed in later stages as the alignment results of the test images.

System Construction
The modeling technique integrates the SOR model and the EDT model, and integrates the basic models to create a conceptual model of PLS experience, in order to predict the feasibility of introducing digital media technology and augmented reality technology in visual media design; the conceptual model is shown in Figure 2. In Figure 2, S represents the designer's design characteristics, specifically information quality, system quality, and service quality, where the key sub-dimensions (accuracy, completeness, speed, flexibility, and empathy) are derived from sample survey data; O represents the designer's psychological response to the stimulation of design characteristics, including perceived usefulness, perceived ease of use, perceived pleasure, failure to test, and satisfaction; and R represents the designer's psychological reactions resulting in behavioral responses, specifically intention to continue using.With the exclusion of external influences, the path relationship of the structural model is analyzed using PLS, and the appropriateness of applying digital media technology and augmented reality technology in mobile visual media design can be predicted.

Model Evaluations
In this paper, the PLS model system was created to verify the effectiveness of the application of digital media technology and augmented reality [26].To verify the feasibility of the PLS model system, this paper adopts a questionnaire survey method.Given that mobile visual media technology is more widely used, this paper collects sample data from a questionnaire survey of browsing users, taking web ads as an example.A total of 1000 research questionnaires were distributed by both questionnaire and paper, and 984 questionnaires were returned, with a return rate of 98.4%, and 16 invalid questionnaires were excluded, resulting in 968 valid questionnaires, with an efficiency rate of 98.3%.

Determination Factor
The internal consistency, topic reliability, convergent validity, and discriminant validity of the reflective measurement model first validated according to the assessment guidelines.As can be seen from Table 1, 0.75 < Cornbrash's Alpha < 0.96, 0.74 < CR < 0.985, 0.68 < AVE < 0.899, 0.74 < Factor loadings < 0.985 and significant at the 0.85 level, which meets the internal consistency, topic reliability of reflective measurement models and convergent validity of the reflective measurement model.This result indicates that the measurement model has good reliability and internal consistency, and has high usability validity.In addition, differential validity analysis was used to verify whether the correlations between the model constructs were statistically different.The arithmetic square root of the AVE for each construct was calculated to be greater than the absolute value between the construct and any other construct, meeting the suggested criteria for the discriminant validity between the models constructs.The HTMT construct correlation coefficient met the threshold value of 0.89, which provided additional support for the discriminant validity analysis.In summary, the experiments of this measurement model can be concluded that the visual media design after using digital media technology and augmented reality technology has good validity among the design conceptions, which provides a good guarantee for the operation of visual media design.

Results of PLS Conceptual Model Analysis
Based on the established PLS conceptual model, the results of the PLS analysis for the normalized path coefficients of the structural model are shown in Figure 3. From the model path analysis in Figure 3, it can be seen that the systematic quality of the tested model is R²=0.52, which exceeds the mean value of 0.5, for an example model with utility and good reliability and validity.Thus, it has a strong explanatory and predictive power.The results of the experimental study are as follows.
After the design was completed, the design reached 0.325 for accuracy, 0.328 for completeness, which positively and significantly influenced information quality, 0.472 for convenience and flexibility, which positively and significantly influenced system quality, and 0.143 for empathy, which positively and significantly influenced service quality.These findings suggest that accuracy, completeness, flexibility, and empathy are all critical factors for incorporating digital media technology and augmented reality as a convenient design approach in mobile visual media design to enhance the designer experience.
System quality (R=0.52)positively and significantly affects information quality (R=0.697) and service quality (R=0.741), and information quality (R=0.697)positively and significantly affects service quality (R=0.741).Perceived service function positively and significantly influenced service quality (R=0.741).The results of this study suggest that improving the system quality of mobile visual media design for digital media technology and augmented reality, a new generation of information technology, can contribute to the improvement of service quality and information quality.In addition, improving the quality of mobile visual media design information can also contribute to the improvement of service quality.
Information quality (R=0.697)positively and significantly affects perceived usefulness, and service quality (R=0.741)positively and significantly affects perceived usefulness.These findings suggest that the higher designers perceive the information quality and service quality of visual media design after incorporating digital media technology and augmented reality, the higher the degree of perceived usefulness and the higher the degree of performance improvement by using the system.

Application of Augmented Reality Technology in Visual Media design
Compared with other reality technologies, digital media technology and augmented reality technology have more advantages in visual media design.Digital media technology and augmented reality technology is to superimpose virtual information to the real environment and make it more realistic and closer to the real world after integrating audio, visual, tactile and olfactory functions.Table 2 shows the comparison results relative to digital media technology and augmented reality technology with other virtual technologies in the application of visual media technology.From Table 2, it can be concluded that digital media technology and augmented reality technology are extremely widely used and have advantages over other virtual technologies in terms of interactivity of virtual objects, station-temporal fixity, and degree of immersion.

Comparison of Model Storage Structures
In traditional visual media design, there are three storage methods: band-by-band storage, line-byline storage, and pixel-by-pixel storage.However, these three storage methods are not efficient and convenient in the past storage process.As shown in Figure 4, it is experimentally proven that the storage method of mobile visual media design has changed significantly after the integration of digital media technology and augmented reality technology.In Figure 4(a), before the use of digital media technology and augmented reality technology, bandby-band storage requires storing data of one band together, and the storage efficiency is 3.85.This storage method is convenient for reading one band at a time, but if each operation involves several bands of data, this storage method takes up a large amount of memory.After the introduction of digital media technology and augmented reality technology, the band storage efficiency rises to 38.45, an increase of nearly ten times, and the storage efficiency is significantly improved.In the traditional technology storage on the ease of reading information is also lacking.However, after the update of digital media technology and augmented reality technology, the band storage method has changed from 2.4 to 19.85 and from 2.6 to 57.5.This updated storage method has a smaller memory footprint for data involving several bands per operation, which allows for more efficient data extraction.This technically updated storage method has a smaller memory footprint for data involving several bands per operation, and allows for more accurate positioning when extracting data.
In Figure 4(b), before the update of digital media technology and augmented reality technology, when reading data, the row storage loads all columns of a row into memory, even though some columns will not be used at all, and the memory occupation ratio is as high as 87.5%.But after the update of digital media technology and augmented reality technology, the row storage only loads the needed columns into memory, and the unneeded columns will not be loaded into memory, and the memory occupation ratio is reduced to 50.62 after the technology update, which decreases about 37% memory ratio and achieves memory streamlining.And the data will be automatically compressed in the storage index.After the technology update, the similarity rate of data search is increased by 55.45% due to the high similarity of data in the same row, and the compression rate is increased to 78.7%, and the data reading efficiency is increased to 87.96% faster and more convenient.
In Figure 4 (c), the pixel-by-pixel image storage, before the technology update, was scattered in the storage band and had to be stored according to the corresponding pixel points, with the number of distributed storage per pixel point being 89.74, while after the technology update, the pixel-by-pixel storage can be saved in the corresponding publicly available, standardized data storage order and structure, with the number of distributed storage per pixel point being reduced to 17.5.The introduction of digital media technology and augmented reality the storage method after the introduction of digital media technology and augmented reality enables different programs to open or save the image files smoothly and share the data.

Conclusion
This paper incorporates digital media technology and augmented reality concepts in the process of mobile visual media design, using domain processing, point processing, big picture processing and model processing in digital algorithms.The visual media images are constructed based on the additive and multiplicative models, and the SOR model is integrated with the EDT model to build the PLS model.Explore the utility of digital media technology and augmented reality in the process of mobile visual media design.The study found that the accuracy of the design product reached 0.325 and the completeness reached 0.328, positively and significantly affecting the quality of information.
Convenience and flexibility reached 0.472, positively and significantly affecting system quality.The shift inertia is 0.143, which positively and significantly affects the quality of service.System quality (R=0.52),information quality (R=0.697),service quality (R=0.741), and perceived service function were positively influenced.The efficiency of image storage, compression rate and reading efficiency increased from the traditional 3.85%, 17.25% and 65.36% to 38.45%, 78.7% and 87.96% after the introduction of the two technologies.The introduction of this technology not only provides rich technical support for the innovation of mobile visual media design, but also provides theoretical reference and academic reference for the subsequent application of digital media technology and augmented reality technology to a certain extent.

Figure 2 .
Figure 2. Building a Conceptual Model System

Figure 3 .
Figure 3. Model paths PLS analysis results

( a )
Comparison of Waveband-by-Waveband Stored Images (b) Line by Line Storage Image Comparison Chart (c) Pixel-by-Pixel Storage of Image Comparison Maps

Figure 4 .
Figure 4. Comparisons of Storage Methods Before and After Incorporation of the Two Technologies

Funding 1 .
Wenzhou Commissioner project 2022, Immersive agriculture technology promotion and the project of Xuexi tea brand upgrading.(X20210080).2. 2022 Wenzhou Science and Technology project (2022N0083) Research on visual interaction of characteristic planting industry based on Virtual Reality Technology.3. Wenzhou Commissioner project 2022, Research on the path and mode of digital empowerment of grassroots rural industry revitalization--Taking Xunzhai as an example (X20210038).

Table 1 .
Model Reliability and Validity Analysis

Table 2 .
Comparison of the Three Reality Technologies