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Wavelet Based Non-Local Means Filtering for Speckle Noise Reduction of SAR Images
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 Title & Authors
Wavelet Based Non-Local Means Filtering for Speckle Noise Reduction of SAR Images
Lee, Dea-Gun; Park, Min-Jea; Kim, Jeong-Uk; Kim, Do-Yun; Kim, Dong-Wook; Lim, Dong-Hoon;
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 Abstract
This paper addresses the problem of reducing the speckle noise in SAR images by wavelet transformation, using a non-local means(NLM) filter originated for Gaussian noise removal. Log-transformed SAR image makes multiplicative speckle noise additive. Thus, non-local means filtering and wavelet thresholding are used to reduce the additive noise, followed by an exponential transformation. NLM filter is an image denoising method that replaces each pixel by a weighted average of all the similarly pixels in the image. But the NLM filter takes an acceptable amount of time to perform the process for all possible pairs of pixels. This paper, also proposes an alternative strategy that uses the t-test more efficiently to eliminate pixel pairs that are dissimilar. Extensive simulations showed that the proposed filter outperforms many existing filters terms of quantitative measures such as PSNR and DSSIM as well as qualitative judgments of image quality and the computational time required to restore images.
 Keywords
SAR image;speckle noise;wavelet transform;non-local means filter;two sample t-test;
 Language
Korean
 Cited by
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