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The Scientific World Journal
Volume 2014, Article ID 979081, 9 pages
http://dx.doi.org/10.1155/2014/979081
Research Article

Green Channel Guiding Denoising on Bayer Image

College of Information System and Management, National University of Defense Technology, Changsha, Hunan 410073, China

Received 30 August 2013; Accepted 8 January 2014; Published 11 March 2014

Academic Editors: R. Cabeza and J. M. Corchado

Copyright © 2014 Xin Tan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Denoising is an indispensable function for digital cameras. In respect that noise is diffused during the demosaicking, the denoising ought to work directly on bayer data. The difficulty of denoising on bayer image is the interlaced mosaic pattern of red, green, and blue. Guided filter is a novel time efficient explicit filter kernel which can incorporate additional information from the guidance image, but it is still not applied for bayer image. In this work, we observe that the green channel of bayer mode is higher in both sampling rate and Signal-to-Noise Ratio (SNR) than the red and blue ones. Therefore the green channel can be used to guide denoising. This kind of guidance integrates the different color channels together. Experiments on both actual and simulated bayer images indicate that green channel acts well as the guidance signal, and the proposed method is competitive with other popular filter kernel denoising methods.