implementation of a new colour filter array with improved quality for noiseless and noisy colour image

Chaitrali V. Pawar1,Vinay S.Nalawade

Published in International Journal of Advanced Research in Computer Science Engineering and Information Technology

ISSN: 2321-3337          Impact Factor:1.521         Volume:4         Issue:3         Year: 09 April,2015         Pages:397-405

International Journal of Advanced Research in Computer Science Engineering and Information Technology

Abstract

The Colour Filter Array is overlaid on the digital camera. Digital camera takes the images by using this colour filter array. The growing popularity of digital camera demands the improvement in the quality of the images, speed of acquiring the images.Digital camera should have High sensitivity properties such as to reduce the exposure time, to increase the aperture, or to use a lower ISO setting and a less destructive de-noising process while acquiring a picture. In this paper we present the CFA with new optimal properties which provide trade-off between robustness to aliasing, chrominance noise and luminance noise. The proposed CFA has a natural and simple demosaicking algorithm associated to it, inspired by its characteristics in the Fourier domain. The demosaicking algorithm used is simple and efficient which fully exploits the spectral properties of the CFA. The proposed CFA work superiorly for acquisition of noiseless and noisy images and has six colours and a periodic pattern of size 2*3. A sensor with the proposed CFA will provide images with higher perceived resolution because the anti-alias filter can be removed from the sensor and better quality than the standard Bayer CFA. It is less sensitive to Inter-chrominance aliasing & chrominance axis. The proposed CFA developed will provide less amplified chrominance noise than Hirakawa CFA. The proposed CFA is developed which will provide robustness in aliasing and luminance & chrominance noise.

Kewords

Color filter array (CFA), Demosaicking of images, luminance/chrominance basis, Spatio-spectral sampling.

Reference

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