A new approach to image sparse decomposition based on MP

Yingyun Yang, Dongxin Shi, Ke Sun, Qin Zhang
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Abstract

One of main problems in image sparse decomposition is the contradiction between the quality of the image and the algorithm's speed. To overcome this key problem, a new fast algorithm is presented. At first the number of atoms is decreased by making use of the atom energy property; then this algorithm converts very time-consuming inner product calculations in sparse decomposition into correlations that are fast done by FFT. Experimental results show that the performance of the proposed algorithm is effective.
基于MP的图像稀疏分解新方法
图像稀疏分解的主要问题之一是图像质量与算法速度之间的矛盾。为了克服这一关键问题,提出了一种新的快速算法。首先利用原子的能量特性来减少原子的数目;然后,该算法将稀疏分解中非常耗时的内积计算转换为FFT快速完成的相关性。实验结果表明,该算法的性能是有效的。
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