Enhanced Color Filter Array Interpolation Using Fuzzy Genetic Algorithm

E. Sree Devi ； B. Anand

《Research Journal of Applied Sciences, Engineering and Technology》 8卷2期 (2014/07) Pp. 277-287

並列摘要

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.

並列關鍵字

Bayer pattern ； Color Filter Array (CFA) ； demosaicking ； fuzzy logic ； genetic algorithm