Intensity SAR Image Denoising with Stochastic Distances Using Non-Local Means Filter
نویسندگان
چکیده
Image denoising approaches have attracted many researchers. The main tackled problem is the removal of additive Gaussian noise. However, it is very important to expand the filters capacity to other types of noise, for example the multiplicative noise of SAR images. The state of the art methods in this area work with patch similarity. This paper shows a new approach for speckle removal based on the Non-Local Means filter. The original algorithm was proposed for additive white Gaussian noise (AWGN). We adopt a new approach for the multiplicative noise in SAR images the speckle noise using stochastic distances based on the G distribution to compare the similarity of patches, without transforming the data to the logarithm domain, like the homomorphic transformation. Keywords-intensity image, SAR, speckle noise, multiplicative model, G distribution, stochastic distances, non-local means, denoising
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