Title :
Nonlocal-Lee filter for SAR image despeckling based on hybrid patch similarity
Author :
Hua Zhong ; Lu Lu ; Jingjing Zhang ; Shuang Wang ; Xiaojing Hou
Author_Institution :
Key Lab. of Intell. Perception & Image Understanding of Minist. of Educ., Xidian Univ., Xi´an, China
Abstract :
This paper presents a novel nonlocal Lee (NL-Lee) filter based on both structure similarity and homogeneity similarity, namely hybrid patch similarity, which can effectively enhance the patch regularity assumption. The proposed NL-Lee filter shares the framework of the NLM filter but combines the traditional Lee filter in a distributive way. Structure similarity from the NLM filter and homogeneity similarity from the Lee filter are well balanced in the new filter. As a result, the new NL-Lee filter obtains good trade-off between speckle smoothing and detail preservation and leads to state-of-the-art results.
Keywords :
filtering theory; image enhancement; radar imaging; synthetic aperture radar; NL-Lee filter; NLM filter; SAR image despeckling; hybrid patch regularity assumption; nonlocal-Lee filter; speckle smoothing; Educational institutions; Image denoising; Noise; Remote sensing; Smoothing methods; Speckle; Synthetic aperture radar; Lee filter; Nonlocal means (NLM); despeckling; synthetic aperture radar(SAR);
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4799-1114-1
DOI :
10.1109/IGARSS.2013.6723198