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PubMed · 15762334

Demosaicing by successive approximation.

Xin Li
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Abstract

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.

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AlgorithmsArtificial IntelligenceColorColorimetryComputer GraphicsData CompressionImage EnhancementImage Interpretation, Computer-AssistedNumerical Analysis, Computer-AssistedPattern Recognition, AutomatedReproducibility of ResultsSensitivity and SpecificitySignal Processing, Computer-AssistedEvaluation StudyJournal Article

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Xin Li. 2005. Demosaicing by successive approximation.. https://doi.org/10.1109/tip.2004.840683

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