Identification and Removal of Impulsive noise using Hypergraph Model

Journal Title: International Journal on Computer Science and Engineering - Year 2010, Vol 2, Issue 8

Abstract

Image noise is unwanted information of an image. Noise can occur during image capture, transmission, or processing and it may depend or may not depend on image content.. In order to remove the noise from the noisy image, prior knowledge about the nature of noise must be known other wise noise removal causes the image blurring. Identifying nature of noise is a hallenging problem. Many researchers have proposed their ideas on image denoising and each of them has its assumptions, advantages and limitations. In this paper, we are proposing a new algorithm for identifying and removing the impulsive noise using hypergraph concept.

Authors and Affiliations

Karibasappa K. G , K. Karibasappa

Keywords

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  • EP ID EP85440
  • DOI -
  • Views 139
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How To Cite

Karibasappa K. G, K. Karibasappa (2010). Identification and Removal of Impulsive noise using Hypergraph Model. International Journal on Computer Science and Engineering, 2(8), 2666-2669. https://europub.co.uk./articles/-A-85440