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A Survey on Various Image De-noising MethodsBy More Nayna K., Seema B. Vora
Abstract: Image de-noising is a classical yet fundamental problem in low level vision, as well as an ideal test bed to evaluate various statistical image modeling methods. The restoration of a blurry or noisy image is commonly performed with a maximum a posteriori probability (MAP) estimator, which maximizes a posterior probability to reconstruct a clean image from a degraded image. A MAP estimator, when used with a sparse gradient image prior, …
Published in Journal of Operating Systems Development & Trends · Vol. 1, Issue 3, 2014 · pp. 10–14 Read article →