Author : Subhadarshini Mishra 1
Date of Publication :1st December 2017
Abstract: Noise detection and its removal are one of the biggest challenges in the field of digital image processing and impulse noise removal is one of them. The image may be corrupted by noise during image acquisition and transmission. To reduce the impulse noise level we use various restoration filters. Restoration is the process of reconstruction of an uncorrupted image from a blurred or noisy image. Various restoration techniques like wiener filter, adaptive median filter, alpha-trimmed median filter, novel median filter, hybrid median filter, cloud model filter, Iterative non-local means filter, adaptive dual threshold median filter are described. However, this paper presents a comprehensive review of some proposed methods and techniques used for restoration along with its advantages and limitations of each approach
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