Study & Analysis of Effects of Deblurring on Different Sets of Images |
Author(s): |
| Anjali Rani , Ambala College Of Engineering And Technology,Ambala; Rajeev Goel, Ambala College Of Engineering And Technology,Ambala |
Keywords: |
| Deblurring, Deblurring Techniques, Motion Blur, Gaussian Blur |
Abstract |
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To recover a sharp version from a blurred image is a long standing inverse problem. Although an image can be deblurred with any kind of deblurring technique. But type of image also matters a lot. In this paper, we analyzed the research on this topic experimentally through three paradigms: 1) the normal image; 2) average image; and 3) dense image. Firstly we blurred our image with Gaussian blur and Motion blur. Then, we will try to deblur the blurred image with basic deblurring techniques, that is Blind Deconvolution, Lucy Richardson Algorithm, Wiener Filter and Regularized Filter. All these filters have their own effects on the blurred image. |
Other Details |
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Paper ID: IJSRDV3I2826 Published in: Volume : 3, Issue : 2 Publication Date: 01/05/2015 Page(s): 2078-2082 |
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