The principal neighborhood dictionaries (PND) nonlocal means (NLM) is an effective method for image denoising, which is based on principal component analysis(PCA). However, it does not make full use of the image contents and is less effective in texture regions. This paper proposes modification to the PND method by adjusting a filter parameter h to achieve better accuracy. Experimental results show that the proposed outperforms PND method and can preserve more edge and texture details while achieving satisfactory denoising results.
CHEN Gang, QIAN Zhen-xing, WANG Shuo-zhong
. Adaptive Nonlocal Means Image Denoising for Better Preservation of Textures[J]. Journal of Shanghai University, 2014
, 20(1)
: 99
-106
.
DOI: 10.3969/j.issn.1007-2861.2013.07.023
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