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A novel algorithm for impulse noise classification in digital images

Vahdat Nejad, H ; Sharif University of Technology | 2009

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  1. Type of Document: Article
  2. Publisher: 2009
  3. Abstract:
  4. Noise reduction is a major concern in digital image processing systems, which have been investigated by several techniques. One kind of important noises in images is known as Salt & Pepper, which may have different causes. In this paper a new approach for eliminating this type of noise is presented. The approach is different from all previous works in this field, and is based on classification. More precisely, it tries to classify pixels of an image to one of two categories: noisy or not noisy. Afterward, it employs a median filter for pixels which have been classified as noisy, and remains others unchanged; hence, edges and other fine details are kept. Experimental results show this sustaining capability of the proposed scheme both in visual inspection and numerical measurement. © 2009 Praise Worthy Prize S.r.l. - All rights reserved
  5. Keywords:
  6. Noise reduction ; Digital image ; Digital image processing ; Median filter ; New approaches ; Noise reductions ; Novel algorithm ; Salt-and-pepper noise ; Visual inspection ; Acoustic noise measurement ; Algorithms ; Computer crime ; Digital image storage ; Image processing ; Imaging systems ; Impulse noise ; Pixels ; Visual communication ; Edge detection
  7. Source: International Review on Computers and Software ; Volume 4, Issue 6 , 2009 , Pages 627-632 ; 18286003 (ISSN)
  8. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-77952265761&partnerID=40&md5=40c56e09ccc3dcb8ab9e0856416e9170