The week's pick
Reseach Article
A Survey on Different Image Deblurring Techniques
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 116 - Number 13 |
| Year of Publication: 2015 |
| Authors: Fagun Vankawala, Amit Ganatra, Amit Patel |
10.5120/20396-2697
|
Fagun Vankawala, Amit Ganatra, Amit Patel . A Survey on Different Image Deblurring Techniques. International Journal of Computer Applications. 116, 13 ( April 2015), 15-18. DOI=10.5120/20396-2697
Abstract
Image blur is general artifacts in digital image processing and it is hard to avoid. Image enhancement or deblurring is necessary to reduce blur amount from the image. Image deblurring is a process used to reduce the blur quantity in a blurred image and make the degraded image into sharpened and clear image. When deblurring images, cause of blurring is very important to increase the effect of the deblurring to get good result. While working with real-time images, we may not have the knowledge of the reason of blurring. There are various sources why image gets blurred like motion blur, camera shake, out of focus blur, etc. This paper carried out performance comparison of different techniques to diminish the effects of above mentioned causes of blurring. The analysis and comparison was conceded out based on types of blur, Peak Signal-to-Noise Ratio (PSNR), Mean Square Error (MSE) and Execution time.
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