Improved unified spatial chromatic sampling framework for color filter arrays in camera

Abstract

In Photography, a Color Filter Array (CFA), or color filter mosaic (CFM), is a periodic Array of small color filters placed over the pixel sensors of an image sensor to capture color information. To capture image from Small electronic handheld device, single sensor CFA array technique is used. Extraction process of color component Red, Green and Blue from the output of single sensor CFA raw data called Demosaicing. The extraction of good newlinequality image from CFA with color artifact is a challenging task. The color artifacts like Edge blurring, Zipper Effect, Aliasing and False coloring are the major artifacts (noise) arise at the time of Demosaicing. In our proposed method, the spatial chromatic sampling framework includes three steps. The first step is, design of optimal sampling pattern, newlinedesign with image formation model and second step is demosaicing by Edge preserve non threshold Interpolation algorithm and followed by applying Hybrid Edge-adaptive median demosaicing Artifact filtering to filter out noise, and extract good color components from noisy CFA data source. Finally evaluate the performance using PSNR value and sCIELAB newlinemeasurements. newline newline