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IEEE Trans Image Process. 2005 Mar;14(3):370-9.

Demosaicing by successive approximation.

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Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV 26506, USA.


In this paper, we present a fast and high-performance algorithm for color filter array (CFA) demosaicing. CFA demosaicing is formulated as a problem of reconstructing correlated signals from their downsampled versions with an opposite phase. The major contributions of this work include (1) a new iterative demosaicing algorithm in the color difference domain and (2) a spatially adaptive stopping criterion for suppressing color misregistration and zipper artifacts in the demosaiced images. We have compared the proposed demosaicing algorithm with two current state-of-the-art techniques reported in the literature. Ours outperforms both of them on demosaicing performance and computational cost.

[Indexed for MEDLINE]

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