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In this paper, we look at the problem of spatially scaling color images. We focus on an approach that takes advantage of the human visual system's color spatial frequency sensitivity. The algorithm performs an efficient least-squares (LS) resolution conversion for the luminance channel and a low-complexity pixel replication/reduction in the chrominance channels. The performance of the algorithm is compared to a LS method in sRGB and CIELAB color spaces, as well as standard bilinear interpolation in sRGB space. The comparisons are made in terms of computational cost and color error in sCIELAB.
Keyword:
INTERPOLATION
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13.7
论文数:
1.0W
被引数:
8.4W
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收藏A chronology of interpolation: From ancient astronomy to modern signal and image processingPROCEEDINGS OF THE IEEE
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PROCEEDINGS OF THE IEEEIF25.9
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