Cart (Loading....) | Create Account
Close category search window
 

A Novel Adaptive Weighted Color Interpolation Algorithm for Single Sensor Digital Camera Images

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)

A single sensor equipped with a color filter array (CFA) is used in many digital still cameras to capture any of the three primary color components, R(red), G(green) or B(blue) on each pixel location, in order to reduce the hardware cost. This single band is used to generate the true RGB image. Demosicing is the process of interpolating the missed colors, which aims to reconstruct the missing colors as close as possible by keeping the less computational complexity. In this paper a novel adaptive edge preserving, edge directed interpolating technique is proposed for color reproduction from Bayer mosaic images. The proposed algorithm aims to effectively estimate the missing G component in edge region and texture regions and the other color planes are estimated based on the interpolated value of the green plane. When the green plane is processed, for each missing green component in the CFA, the algorithm performs a gradient test, to identify edge direction and then carries out an interpolation along the direction of a smaller gradient to determine the missing green component. The variance of color differences can be used as a supplementary criterion to determine the interpolation direction for the green components. Depending on the sharpness, an adaptive weighted interpolation method is introduced. Experimental results show that the proposed method performs much better than other latest demosaicing techniques in terms of CPSNR, correlation coefficient and SSIM (structural-similarity).

Published in:

Conference on Computational Intelligence and Multimedia Applications, 2007. International Conference on  (Volume:3 )

Date of Conference:

13-15 Dec. 2007

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.