• M GNANESH GOUD
• R NARENDER
• M SRI VENKAT RAMI REDDY

Image restoration is the process of recovering the original image from the degraded image. Aspire of the project is to restore the blurred/degraded images using Blind Deconvolution algorithm. The fundamental task of Image deblurring is to de-convolute the degraded image with the PSF that exactly describe the distortion. Firstly, the original image is degraded using the Degradation Model. It can be done by Wiener filter which is a low-pass filter used to blur an image. In the edges of the blurred image, the ringing effect can be detected using Canny Edge Detection method and then it can be removed before restoration process. Blind Deconvolution algorithm is applied to the blurred image. It is possible to renovate the original image without having specific knowledge of degradation filter, additive noise and PSF. To get the effective results, the constrained least square restoration algorithm that uses a regularized filter Technique is used with our proposed Blind Deconvolution Algorithm.

Image, PSF, Wiener Filter, Canny Edge, Regular filter.

" IMAGE RESTORATION USING BLIND DECONVOLUTION ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 5, page no.1088-1092, May-2018, Available :http://www.jetir.org/papers/JETIR1805371.pdf

" IMAGE RESTORATION USING BLIND DECONVOLUTION ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 5, page no. pp1088-1092, May-2018, Available at : http://www.jetir.org/papers/JETIR1805371.pdf