The research of real-time image clarity processing method based on FPGA

At present, the research of image clarity processing based on FPGA is still in the initial state which is mainly for some simple algorithms at home and abroad. In this paper, firstly, the FPGA technology is used for fast median filter and denoising processing of images. And then, the analysis of rough sets and the processing of incomplete information which divides the image into target areas and background areas and processes with different functions respectively are adopted to improve the algorithm of image clarity processing. The experimental result shows that, the clarity processing based on FPGA can greatly save time and meet the needs of real-time. In addition, using the gray transformation algorithm based on rough set theory can make the original blurred image clearer.