Color demosaicking via directional linear minimum mean square-error estimation

View Researcher's Other Codes

MATLAB code for the paper: “Color demosaicking via directional linear minimum mean square-error estimation”.

Disclaimer: The provided code links for this paper are external links. Science Nest has no responsibility for the accuracy, legality or content of these links. Also, by downloading this code(s), you agree to comply with the terms of use as set out by the author(s) of the code(s).

Please contact us in case of a broken link from here

Authors Lei Zhang and Xiaolin Wu
Journal/Conference Name IEEE Transactions on Image Processing
Paper Category
Paper Abstract Digital color cameras sample scenes using a color filter array of mosaic pattern (e.g. the Bayer pattern). The demosaicking of the color samples is critical to the quality of digital photography. This paper presents a new color demosaicking technique of optimal directional filtering of the green-red and green-blue difference signals. Under the assumption that the primary difference signals (PDS) between the green and red/blue channels are low-pass, the missing green samples are adaptively estimated in both horizontal and vertical directions by the linear minimum mean square-error estimation (LMMSE) technique. These directional estimates are then optimally fused to further improve the green estimates. Finally, guided by the demosaicked full-resolution green channel, the other two color channels are reconstructed from the LMMSE filtered and fused PDS. The experimental results show that the presented color demosaicking technique significantly outperforms the existing methods both in PSNR measure and visual perception.
Date of publication 2005
Code Programming Language MATLAB

Copyright Researcher 2022