Image Enhancement Based on Visual Attention Mechanisms
视觉注意机制在图像增强中的应用研究

A novel image enhancement algorithm based on gray-level information histogram was proposed.The image saliency analysis was performed using Itti′s visual attention model and a global salient graph was obtained.The global salient graph was divided into several sub-parts with the same size and then weighted statistical coefficients of sub-parts were achieved by normalizing the average salient values of those sub-parts.The information histogram was obtained by adding weighted statistical results of sub-parts.And the gray-level dynamic ranges were adjusted according to the mapping function of histogram equalization.The experimental results show that the proposed algorithm has better performance than the traditional GHE (Global Histogram Equalization) and AHE (Adaptive Histogram Equalization) methods.In addition,the visual effect of enhanced image was satisfied.