Abstract
Because most of the traditional artistic visual image communication methods use the form of modeling and calculation, there are some problems such as long image processing time, low success rate of image visual communication, and poor visual effect. An artistic visual image communication method based on Cartesian genetic programming is proposed. The visual expression sensitivity difference method is introduced to process the image data, the neural network is used to identify the characteristics of the artistic visual image, the midpoint displacement method is used to remove the folds of the artistic visual image, and the processed image is formed under the above three links. The Cartesian genetic programming algorithm is used to encode the preprocessed image, improve the fitness function, select the algorithm to improve the operation, design the image rendering platform, input the processed image to the platform, and complete the artistic visual image transmission. The analysis of the experimental results shows that the image processing time of this method is short, the success rate of visual communication is high, and the image visual effect is good, which can obtain the image processing results satisfactory to users.
Highlights
In recent years, the worldwide informatization process has been accelerating, and the development of all kinds of data has shown a soaring trend
In order to simplify the operation, the above operation method is transformed into simple mathematical operation, and the visual communication effect is optimized through the reflected light graphic mode. e experimental results show that the proposed method effectively improves the visual communication effect of the image, makes the color of the image more vivid and rich, and reduces the optimization cost, but there is a problem of long image processing time
In order to improve the visual effect of artistic visual image, improve image processing efficiency, and improve the success rate of visual communication, this paper proposes an artistic visual image communication method based on Cartesian genetic programming
Summary
The worldwide informatization process has been accelerating, and the development of all kinds of data has shown a soaring trend. Reference [8] proposes a plane visual communication design method based on user experience effect. According to the needs of user experience effect, the boundary feature detection and multilevel structure decomposition in the process of plane visual communication design are carried out, the low-level visual structure of plane visual communication design is reconstructed by the method of adjacent pixel information fusion, and the user experience effect evaluation model of plane visual design image is established. In order to improve the visual effect of artistic visual image, improve image processing efficiency, and improve the success rate of visual communication, this paper proposes an artistic visual image communication method based on Cartesian genetic programming. Its works can generally be used directly and have high market value. erefore, compared with other algorithms, Cartesian genetic programming is an art design algorithm with high artistic value and market potential, which has been successfully used in the field of image design such as wallpaper design. is paper optimizes the visual communication effect of artistic visual image with the help of this algorithm, so as to improve the user experience effect and satisfaction
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