Abstract:This paper presents an iterative algorithm for image and video denoising which is based
on fractional block-matching and transform domain filtering. We propose fractional motion
estimation technique to find the most accurate similar blocks for each block of an image
which improves sparsity enabling effective image denoising. By taking the advantage of
blocks similarity and wavelet transform domain filtering along with weighted average
function (WAF) in an iterative based manner, we achieve a higher level of sp… Show more
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