摘 要 本文通过基于压缩感知理论（CS）的一类贪婪算法求解P0问题，由正交匹配追踪算法（OMP），进而引入匹配追踪算法（MP）和弱匹配追踪算法（WMP）以及逐步正交匹配追踪（StOMP）算法，同时我们将另一类基追踪算法（BP）用来做图像重构实验的对比。通过算例，我们将看到各种方法在重构结果上的优缺点对比。
A family of Pursuit Algorithms and their performence in Image Reconstruction
Zou Jiancheng Zhang Li
（Institute of Image Processing and Pattern Recognition, North China Univ. of Tech.,
100144, Beijing, China)
Abstract This paper mainly focus on solving P0 problem using a family of greedy algorithms which is based on the Compressed Sensing (CS) , from OMP algorithm, we are introducing MP WMP and other variants algorithm like StOMP, still we'll compare with another BP algorithm base on different idea but in fact doing the same performance. In the examples, we'll see their performance on image reconstruction, from the comparison of the result, we'll tell each one's advantages and disadvantages.
Keywords Compressed Sensing；Greedy algorithm； OMP； Image Reconstruction
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