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Image Degradation Model, Genetic Algorithm, Mean Square Error, Improvement in Signal to Noise Ratio
This Image deblurring aims to eliminate or decrease the degradations that has been occurred while the image has been obtained. In this paper, we proposed a unified framework for restoration process by enhancement and more quantified deblurred images with the help of Genetic Algorithm. The developed method uses an iterative procedure using evolutionary criteria and produce better images with most restored frequency-content. We have compared the proposed methods with Lucy-Richardson Restoration method, method proposed by W. Dong  and Inverse Filter Restoration Method; and demonstrated that the proposed method is more accurate by achieving high quality visualized restored images in terms of various statistical quality measures.
Dhirendra Pal Singh, Ashish Khare,"Restoration of Degraded Gray Images Using Genetic Algorithm", International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.8, No.3, pp.28-35, 2016. DOI: 10.5815/ijigsp.2016.03.04
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