Research on Image Algorithm Based on Contrast

This paper adopts the algorithm to analyze the contrast ratio from the global and local level, providing improvements in enhancing image contrast concerning the global, as well as the local features. While extracting prominent features of images, the algorithm GC and RC are adopted during this process, delivering weighted algorithm to space information. Besides, the local contrast algorithm adopts spatial weighting optimization to strengthen the differences between the target region and its surroundings. From the experimental results in saliency maps, the proposed algorithm succeeds to completely extract the target in high-contrast region.