Research Article | OPEN ACCESS
Enhanced Color Filter Array Interpolation Using Fuzzy Genetic Algorithm
1E. Sree Devi and 2B. Anand
1Department of Electronics and Communication Engineering, Rohini College of Engineering and Technology, Nagercoil, India
2Department of Electrical and Electronics Engineering, Hindusthan College of Engineering and Technology, Coimbatore, India
Research Journal of Applied Sciences, Engineering and Technology 2014 2:277-287
Received: April 26, 2014 | Accepted: May 25, 2014 | Published: July 10, 2014
Abstract
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.
Keywords:
Bayer pattern, Color Filter Array (CFA), demosaicking , fuzzy logic , genetic algorithm,
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Competing interests
The authors have no competing interests.
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