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     Research Journal of Applied Sciences, Engineering and Technology


Inter Channel Correlation based Demosaicking Algorithm for Enhanced Bayer Color Filter Array

1K. John Peter, 2S. Arumugam and 3K. Senthamarai Kannan
1VINS Christian College of Engineering, Anna University, Nagercoil, Tamil Nadu, India
2Nandha Engineering College, Erode, Tamil Nadu, India
3MS University, Tirunelveli, Tamil Nadu, India
Research Journal of Applied Sciences, Engineering and Technology  2014  15:3049-3055
http://dx.doi.org/10.19026/rjaset.7.641  |  © The Author(s) 2014
Received: August 01, 2013  |  Accepted: August 23, 2013  |  Published: April 19, 2014

Abstract

Demosaicking is a process of obtaining a full color image by interpolating the missing colors of an image captured from a digital still and video cameras that use a single-sensor array. In this study a new Color Filter Array (CFA) is proposed. Which is based on the actual weight of the Human Visual System. It is developed based on the sensitivity level of the human eye to red as 29.9%, green as 58.7% and blue as 11.4%. This study also provides an effective iterative demosaicing algorithm applying a weighted-edge interpolation to handle green pixels followed by a series of color difference interpolation to update red, blue and green pixels. Before applying demosaicking algorithm Gaussian filter is applied to remove noise of the sensor applied image and also enhance the image quality. Experimental results show that the proposed method performs much better than other latest demosaicing techniques in terms of image quality and PSNR value.

Keywords:

Bayer, color difference, color interpolation, Gaussian filter, iterative demosaicing,


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Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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