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Image Restoration using a Combinational Trivaritate Shrinkage Filter and PSO
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 86 - Number 16 |
| Year of Publication: 2014 |
| Authors: Prabhjot Kaur, Sukhwinder Kaur |
10.5120/15072-3508
|
Prabhjot Kaur, Sukhwinder Kaur . Image Restoration using a Combinational Trivaritate Shrinkage Filter and PSO. International Journal of Computer Applications. 86, 16 ( January 2014), 26-28. DOI=10.5120/15072-3508
Abstract
Image restoration in digital image processing is a technique through which corrupted images are modified to increase the quality of the image. A lot of research work has been done in this contrast to make the image quality efficient enough. When the noise level in the image is low , it is easy to rectify the image using general filter but the procedure is not effective enough when the noise in the image is high. To rectify highly noised images we need combinational filter which divides the images into section and perform the threshold operation according to the sections divided. In this paper, we propose a unique methodology to perform image restoration using a combinational trivaraiate shrinkage filter &PSO within the wavelet domain for 512*512 pixel size image.
References
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