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.
Highlights
Color Filter Array (CFA) is a distinctive hardware element in single-sensor imaging pipeline (Parulski and Spaulding, 2003)
Information about color filters arrangement in CFA is known from camera manufacturers or it is got using Tagged Image File Format for Electronic Photography (TIFF-EP), where the gray-scale CFA image is re-arranged as a low resolution color image (Fig. 1b) (Lukac and Plataniotis, 2005a)
The color filters arrangement in the CFA is based on the manufacturer (Bayer, 1976; Yamanaka, 1977; Parmar and Reeves, 2004; Lukac and Plataniotis, 2005c)
Summary
Color Filter Array (CFA) is a distinctive hardware element in single-sensor imaging pipeline (Parulski and Spaulding, 2003). Information about color filters arrangement in CFA is known from camera manufacturers or it is got using Tagged Image File Format for Electronic Photography (TIFF-EP), where the gray-scale CFA image is re-arranged as a low resolution color image (Fig. 1b) (Lukac and Plataniotis, 2005a). This is the first operation in demosaicking (Lukac and Plataniotis, 2005b; Wu and Zhang, 2004; Gunturk et al, 2005) which use the spectral interpolation concept to estimate missing color components and produce a full-color image (Fig. 1c) (Lukac et al, 2005).
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