A SHORT REVIEW ON IMAGE RESTORATION OF NOISY AND BLURRED IMAGES AND COMPARISON OF STATE OF ART ALGORITHMS
Abstract
This paper analyzes most of restoration method frequently used and gives comparison of seven recent algorithms in terms of working and applicability It compares algorithms like KSVD, BM3D, CSR, KLLD, SVD based, LPGPCA, NCSR and many other spatial domain, transform domain and dictionary based methods, iterative methods for image restoration of noisy and blurred images. It gives comparative survey of all restoration techniques which will be useful to researchers for further development in the field.
Keywords
KSVD; KLLD; NCSR; BM3D; CSR; SVD based; LPGPCA; Dictionary learning; Transform domain; Spatial domain; ISTA; FISTA; TWIST.
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PDFDOI: https://doi.org/10.26483/ijarcs.v9i1.5307
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