Rungta International Journal of Computer Science and Information Technology

1. Karishma Ghai – Rungta College Of Engineering And Technology Bhilai, Durg, Chhattisgarh, India

2. Minu Choudhary – Rungta College Of Engineering And Technology Bhilai, Durg, Chhattisgarh, India

Received
21-Dec-2016
Accepted
-
Published
21-Dec-2016
Abstract
An art to enhance the eminence of image through estimating the amount of noises and blur involved in the image is Image restoration. Over the time, image gets dishonored due to different environmental conditions and atmospheric, hence it is vital to restore the original image using different image processing algorithms. There is a wide spread application of image restoration in todays world. Application area varies from restoration of old images in radar based image acquisition and restoration etc. In this paper we have proposed an image restoration technique using non-blind convolution based deblurring and compared the performance with TwIST.
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