气动退化复原图像多尺度局部去振铃算法

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张晓倩1,2， 李俊山1， 孙李辉1

 （1.第二炮兵工程大学402教研室，陕西 西安 710025；2.太原卫星发射中心，山西 太原 030027)

 摘要： 为了抑制气动退化复原图像中的振铃效应，提出了一种气动退化复原图像多尺度局部去振铃算法。首先，对复原后图像进行非下采样轮廓波变换(Nonsubsampled Contourlet Transform,NSCT)分解；然后进行多尺度边缘检测、融合和二次跟踪细化实现图像主轮廓的提取；最后，对图像的主轮廓进行去振铃局部模糊滤波。仿真实验结果表明，在运算效率与其他算法相当的情况下，滤波后图像的边缘振铃去除效果更好，纹理细节恢复更加显著，基本满足了振铃去除、纹理细节保护以及实时性的要求。

 关键词： 气动退化复原图像；多尺度；振铃效应；主轮廓；局部模糊滤波

 中图分类号： TP 391文献标志码： A

 MultiScale Local Deringing Algorithm of AeroDegraded Restoration Image

 ZHANG Xiaoqian1,2， LI Junshan1,SUN Lihui1

 (1. Staffroom 402, The Second Artillery Engineering University, Xi′an 710025, China;

 2.TaiyuanSatelliteLaunchCenter,Taiyuan030027,China)

 Abstract： In order to solve the problem of ringing effect in the aerodegraded restoration image, a multiscale local deringing algorithm is put forward. First, disassembly of nonsubsampled contourlet transform (NSCT) was performed. Then multiscale edge detection, edge fusion and secondary trackthinning were carried out  to get main contour. Finally, local deringing fuzzy filter to main contour was finished. Experimental results indicate that deringing effect is better and the preservation of texture detail is more obvious under the same calculatiom efficiently as other algorithms. The proposed algorithm can satisfy the requirements of ringing removal, preservation of texture detail and real time.

 Key words: aerodegraded restoration image; multiscale; ringing effect; main contour; local fuzzy filter

收稿日期： 20130422

基金项目： 国家自然科学基金项目（61175120)；博士后面上资助项目（2012M512149）.

作者简介： 张晓倩（1978—），女，工程师，在站博士后.