Non-Local Noise Estimation for Adaptive Image Denoising
Image denoising is a classical linear inverse problem with applications in remote sensing, medical imaging, astronomy and surveillance. This article addresses the image denoising problem using a non-local noise estimation based on the spatial redundancy offered by natural images. A low dimensional signal subspace is estimated using the statistical strength of singular value decomposition (SVD), which reduces the computational burden and enhances the local basis screening. A multiple regression...[Show more]
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