Non Local Image Restoration Using Orientation Optimization By Means of Genetic Algorithm
Ramandeep Kaur1, Tejinder Thind2

1Ramandeep Kaur, Department of Computer Science & Engineering, Lovely Professional University, Jalandhar (Punjab), India.
2Prof. Tejinder Thind, Department of Computer Science & Engineering, Lovely Professional University, Jalandhar (Punjab), India.
Manuscript received on 12 March 2013 | Revised Manuscript received on 21 March 2013 | Manuscript Published on 30 March 2013 | PP: 86-88 | Volume-2 Issue-4, March 2013 | Retrieval Number: D0537032413/13©BEIESP
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Abstract: As we know image de noising is a main part of almost every image processing devices so it’s better to have good algorithm to get good quality of image even after de noising that using some algorithm. Many researchers are doing work in this field to recover pixel lost in given RGB image. We are going to present a noble approach for restoration of pixels in image using optimizing its pixel orientation by means of GA (genetic algorithm). We implement orientation analysis for whole image using genetic algorithm and make unmatched orientation to its best optimized orientation to enhance image PSNR and MSE. This paper presents GA as an efficient algorithm comparable to the original non local means algorithm used for denoising.
Keywords: GA, MSE, PSNR, SAIST.

Scope of the Article: VLSI Algorithms