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Image Restoration Filters in Spatial Domain for Various Noise Density Ranges

Author(s):

Smita Agrawal , NIELIT GORAKHPUR; Sunil Kumar, NIELIT GORAKHPUR; Anurag Bajpai, NIELIT GORAKHPUR; Vivek Kumar, NIELIT GORAKHPUR

Keywords:

SNR, PSNR, MSE, Salt and Pepper Noise, Speckle Noise, Gaussian Noise, Hybrid Median Filter

Abstract

Image Restoration is an area of image processing that deals with the removal of noise by various filtering techniques. There are various filters that exist in literature for various types of noise. Most of them are specific to the noise type and particular noise ranges. These are classified into linear and non-linear filters. Linear filters are more suitable for gaussian noise removal even at higher noise densities (>30%) and at times for speckle noise removal, whereas non-linear filters are more suitable for impulse noise removal, especially at low and medium level densities. However, at higher noise densities, non-linear filtering efficiency generally gets degraded. In this paper, a comparative analytical treatment is done for six filtering methods, at medium to high noise densities, and the choice of the most suitable filter technique is determined for particular noise ranges. The noise and filter functions are implemented in MATLAB.

Other Details

Paper ID: IJSRDV5I70156
Published in: Volume : 5, Issue : 7
Publication Date: 01/10/2017
Page(s): 250-255

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