Analysis and Comparative Study of Image Restoration by using Matlab IJTSRD
The Image restoration is the recovery of an image that has been degraded by blur and noise. Degradation typically involves blurring of the original image and corruption noise. The recovery of an original image from degraded observations is of paramount importance and can find its application in several scientific areas including medical and diagnostics, authentication automated industry inspection, astronomical imaging and many areas. Image restoration assures good sights of image when it is subjected to further techniques of image processing. In this the presentation of results and comparisons of the restoration algorithms namely Weiner filter, the regularized filter and Lucy Richardson as implemented in MATLAB. The image which will be used that will be degraded by motion blur with Gaussian, Salt and pepper and speckle noise models respectively and restoration of same image using various algorithms mentioned above. The algorithm of image restoration, distinguish themselves from enhance method in that they are based on models for degrading process and for the ideal image.
By Vaishali Kumari | Ranjan Kumar Singh”Analysis and Comparative Study of Image Restoration by using Matlab”
Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018,
Analysis and Comparative Study of Image Restoration by using Matlab IJTSRD IEEE PAPER
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