A New Edge-Adaptive Demosaicing Algorithm for Color Filter Arrays

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Title:	A New Edge-Adaptive Demosaicing Algorithm for Color Filter Arrays
Authors:	Tsai, Chi-yi;Song, Kai-tai
Contributors:	淡江大學電機工程學系
Keywords:	Image representation;Color reproduction;CFA demosaicing;Adaptive filtering;Color artifacts
Date:	2007-06
Issue Date:	2011-10-15 01:05:11 (UTC+8)
Abstract:	A novel edge-adaptive demosaicing algorithm (EADA) is proposed in this paper to effectively reduce color artifacts in demosaiced images from a color filter array (CFA). The proposed algorithm aims to reduce the aliasing error in red and blue channels by exploiting high-frequency information of the green channel. To achieve this, color-difference based edge-adaptive filtering and post-processing schemes are designed to reproduce the color values by exploiting the green channel information. For green channel interpolation, any of the existing image interpolation methods can be used and combined with the proposed algorithm. Moreover, a new adaptive interpolation method is presented for reconstructing the green channel from CFA samples. We have compared this technique with two recently proposed demosaicing techniques: Gunturk’s and Lu’s methods. The experimental results show that EADA outperforms both of them in both PSNR values and CIELAB View the MathML source measures.
Relation:	Journal of Image and Vision Computing 25(9), pp.1495-1508
DOI:	10.1016/j.imavis.2006.12.018
Appears in Collections:	[Graduate Institute & Department of Electrical Engineering] Journal Article

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