Abstract
AbstractDemosaicking of the color CCD data is a key to the image quality of digital still and video cameras. Limited by the Nyquist frequency of the color filter array (CFA), color artifacts often accompany high frequency contents in the reconstructed images. This paper presents a general approach of joint spatial-temporal color demosaicking that exploits all three forms of sample correlations: spatial, spectral, and temporal. By motion estimation and statistical data fusion between multiple estimates obtained from adjacent mosaic frames, the new approach can significantly outperform the existing spatial color demosaicking techniques both in objective measure and subjective visual quality.KeywordsMotion VectorGreen SampleGreen ChannelAdjacent FrameBlue ChannelThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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