Visual Communication Optimization Method Based on Image Processing Technology

Digital image processing has been widely used in the field of visual communication. People have a higher and broader demand for visual communication technology. In order to make better, faster and more efficient use of existing resources and achieve the goal of maximizing social and economic benefits, it is necessary to research and apply digital, automatic and intelligent image processing technology. In this paper, the key technology of image processing in visual communication technology has been tested by experiment and comparison. The experimental data shows that the GCNN method in the high-resolution reconstruction method has the best results in image processing, and the result of the information fidelity standard is more than 0.3 than other methods. Image processing technology can effectively improve the sharpness, contrast and color saturation of the image, making the image more vivid and vivid. Compression algorithm, can compress the size of image files to a smaller size, thus reducing the cost of image transmission. The technology of image segmentation and recognition can realize the automatic detection and recognition of the target object in the image, making the image processing more intelligent and automated, and reducing the workload and cost of manual processing.