Abstract: 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.

Key words: sparse representation of images, human visual system, dual-tree complex wavelet, local competition

摘要： 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。

关键词: 图像稀疏表示, 视觉特性, 双树复数小波, 局部竞争