19 May 2016 Image denoising using a combined criterion
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Abstract
A new image denoising method is proposed in this paper. We are considering an optimization problem with a linear objective function based on two criteria, namely, L2 norm and the first order square difference. This method is a parametric, so by a choice of the parameters we can adapt a proposed criteria of the objective function. The denoising algorithm consists of the following steps: 1) multiple denoising estimates are found on local areas of the image; 2) image edges are determined; 3) parameters of the method are fixed and denoised estimates of the local area are found; 4) local window is moved to the next position (local windows are overlapping) in order to produce the final estimate. A proper choice of parameters of the introduced method is discussed. A comparative analysis of a new denoising method with existed ones is performed on a set of test images.
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Evgeny Semenishchev, Evgeny Semenishchev, Vladimir Marchuk, Vladimir Marchuk, Igor Shrafel, Igor Shrafel, Vadim Dubovskov, Vadim Dubovskov, Tatyana Onoyko, Tatyana Onoyko, Stansilav Maslennikov, Stansilav Maslennikov, } "Image denoising using a combined criterion", Proc. SPIE 9869, Mobile Multimedia/Image Processing, Security, and Applications 2016, 98690E (19 May 2016); doi: 10.1117/12.2223610; https://doi.org/10.1117/12.2223610
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