DocumentCode
3287453
Title
Implementation of restoration of blurred image using blind deconvolution algorithm
Author
Patil, Premajyothi ; Wagh, R.B.
Author_Institution
CS Dept., NMU Univ. RCPIT Shirpur, Shirpur, India
fYear
2013
fDate
26-28 July 2013
Firstpage
1
Lastpage
5
Abstract
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.
Keywords
Gaussian processes; deconvolution; edge detection; image restoration; Gaussian filter; PSF; blind deconvolution algorithm; blurred images; canny edge detector; image restoration; ringing effect; Autoregressive processes; Deconvolution; Degradation; Filtering algorithms; Image edge detection; Image restoration; Noise; Blind deconvolution algorithm; Canny Edge Detection; Image Restoration; PSF;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless and Optical Communications Networks (WOCN), 2013 Tenth International Conference on
Conference_Location
Bhopal
ISSN
2151-7681
Print_ISBN
978-1-4673-5997-9
Type
conf
DOI
10.1109/WOCN.2013.6616234
Filename
6616234
Link To Document