Visual Communication Image Clarity Processing System on the Basis of Artificial Intelligence

Traditional visual communication image processing is done manually, which is not only time-consuming and labor-intensive, but also not very effective. Therefore, this article adopted an AI (Artificial Intelligence) based visual communication image clarity processing system. The main functional modules of the system include four aspects: visual transmission of image data acquisition based on AI, adjustment of basic image parameters, image dehazing processing, and image clarity enhancement. Among them, image clarity was a complete functional module and the core of the entire image clarity processing system. This article intended to take large-scale image data as an example to analyze the computational speed and stability of the effectiveness of this method, in order to verify its practicality. The processing time for 100 images was 0.8 seconds, with a standard deviation of 0.025 for clarity improvement and 0.030 for naturalness improvement. This system is beneficial for improving the clarity of visual communication images and reducing image processing time.