Implementation of Restoration of Blurred Image Using Blind Deconvolution Algorithm

被引：0

作者：

Patil, Punam ^{[1
]}

Wagh, R. B. ^{[1
]}

机构：

[1] NMU Univ, RCPIT Shirpur, CS Dept, Shirpur, Maharashtra, India

来源：

2013 TENTH INTERNATIONAL CONFERENCE ON WIRELESS AND OPTICAL COMMUNICATIONS NETWORKS (WOCN) | 2013年

关键词：

Blind deconvolution algorithm; Canny Edge Detection; Image Restoration; PSF;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Image Restoration is a field of Image Processing in which recovering an original and sharp image from a degraded image. Purpose of this paper is to restore the blurred images using blind deconvolution algorithm with canny edge detector. Initially original image is blurred using Gaussian filter. Then 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 to get reconstructed image. Blind Deconvolution Algorithm is used effectively when no information of distortion is known. It restores image and PSF at the same time.

引用

页数：5