Removal of Salt and Pepper Noise from highly Corrupted Images using Mean Deviation statistical parameter

Journal Title: International Journal on Computer Science and Engineering - Year 2013, Vol 5, Issue 2

Abstract

A novel idea of using median deviation parameter in estimating the noise in the images is proposed and successfully applied to both gray level as well as color images. The median filter which is very popular in removing the salt and pepper noise from the images ,has undergone many changes in recent past. To this modified median filter the concept of median deviation is added and used in estimating and removing the noise. The proposed method is implemented by developing a Graphical User Interface in MATLAB and also implemented using the Spartan 3E Filed Programmable Device. The results are found to be better than earlier methods and also robust in terms of preserving the contrast and fine details of the image even at high noise densities.

Authors and Affiliations

Dr. M. Anand , Y. Narasimha Murthy

Keywords

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  • EP ID EP161573
  • DOI -
  • Views 127
  • Downloads 0

How To Cite

Dr. M. Anand, Y. Narasimha Murthy (2013). Removal of Salt and Pepper Noise from highly Corrupted Images using Mean Deviation statistical parameter. International Journal on Computer Science and Engineering, 5(2), 113-119. https://europub.co.uk/articles/-A-161573