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Abstract
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Article Information:
Enhanced Color Filter Array Interpolation Using Fuzzy Genetic Algorithm
E. Sree Devi and B. Anand
Corresponding Author: E. Sree Devi
Submitted: April 26, 2014
Accepted: May 25, 2014
Published: July 10, 2014 |
Abstract:
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Covering sensor surface with a Color Filter Array (CFA) and enabling a sensor pixel sample only one of three primary color values, is how single sensor digital cameras capture imagery. An interpolation process, called CFA demosaicking estimates other two missing color values at every pixel to render a full color image. This study presents two contributions to CFA demosaicking: a new and improved CFA demosaicking method to ensure high quality color images and new image measures to quantify demosaicking performance. Though digital cameras are now more powerful and smaller, Charge-Coupled Device (CCD) sensors continue to associate only one color to a pixel. Called Bayer Pattern this color mosaic is processed to get a high resolution color image. Every interpolated image pixel includes a full surrounding pixels colors based color spectrum. This study uses an edge indicator function and edge directions are considered in the suggested interpolation method to avoid high frequency region artifacts and improve performance.
Key words: Bayer pattern, Color Filter Array (CFA), demosaicking, fuzzy logic, genetic algorithm, ,
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Cite this Reference:
E. Sree Devi and B. Anand, . Enhanced Color Filter Array Interpolation Using Fuzzy Genetic Algorithm. Research Journal of Applied Sciences, Engineering and Technology, (2): 277-287.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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