基于视觉特性的图像稀疏表示

提出利用过完备多分辨率变换并结合视觉特性的图像稀疏表示方法。该算法用双树复数小波模拟视觉皮层简单细胞的感受野，结合相邻细胞间抑制和增强特性，用局部竞争抑制的方法从变换系数中选取少量系数稀疏表示图像。实验结果表明，其重构图像的效果较其他方法有明显的改善。

Sparse representation of images based on human visual system

A sparse representation scheme of images which is inspired from overcomplete multiresolution transforms and combined with visual characteristic,is proposed.This algorithm models simple cell receptive fields through dual-tree complex wavelets.The model also incorporates inhibition and facilitation interactions between neighboring cells to choose a number of coefficients of transformation to achieve the sparse representation of initial images,by utilizing the local competition and inhibition method.The experiment results show that the proposed scheme outperforms others.