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Image Deblurring using Segmentation
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 93 - Number 17 |
| Year of Publication: 2014 |
| Authors: Johar A., Johar Aditi, Kalra G S |
10.5120/16428-6093
|
Johar A., Johar Aditi, Kalra G S . Image Deblurring using Segmentation. International Journal of Computer Applications. 93, 17 ( May 2014), 19-22. DOI=10.5120/16428-6093
Abstract
Motion deblurring is a vastly used technique in image processing and is an interesting task in this field . In this paper an algorithm is proposed for the performance of segmentation to create boundaries of the object under observation. Segmentation of the image is performed to separate the focused object from the blurred background. The image is uniformly blurred by performing kernel estimation of the background image and convoluting it with the focused part of the image. Finally deconvolution is performed on the image in order to obtain a clear image.
References
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