Title :
Color Filtering Method for CFA Images Based on Gradient
Author :
Sun, Haijiang ; Wang, Yanjie
Abstract :
Single-sensor digital cameras capture image by covering the sensor surface with a color filter array(CFA) such that each sensor pixel only samples one of three primary color values,three color is R(red),G(green) and B(blue). To render a full-color image, need an interpolation process commonly referred to as CFA demosaicking, is required to estimate the other two contributions for producing a full-color image. But, the noise in imaging sensors not only corrupts the color filter array, at the same time introduces artifacts during the color interpolation step and influence quality of images. In order to acquire high quality full-color images, adopt a sort of viable and effective interpolation algorithm based on gradient, at the time of removing the noise, reserve image border and detail information clearly.
Keywords :
gradient methods; image colour analysis; image denoising; image segmentation; interpolation; CFA demosaicking; CFA images; color filter array; color interpolation process; detail information; full color image; gradient method; image denoising; image quality; imaging sensors; reserve image border; sensor surface; single sensor digital cameras; Arrays; Colored noise; Filtering algorithms; Image color analysis; Interpolation; Optical filters; color filter array; filter out noise; gradient; interpolation;
Conference_Titel :
Communication Systems and Network Technologies (CSNT), 2012 International Conference on
Conference_Location :
Rajkot
Print_ISBN :
978-1-4673-1538-8
DOI :
10.1109/CSNT.2012.60