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- W2896659092 abstract "Decolorization aims at converting color images into grayscale images while preserving their original contrast and color discriminability. In this paper, we introduce an original fusion-based decolorization approach. Our algorithm employs as inputs the three color channels R, G, and B, and an additional input related to the Helmholtz-Kohlrausch effect. To blend those inputs, we adopt a multiscale fusion strategy to prevent the artifacts arising from a pixel-wise application of weight maps and use several weight maps that respectively control saliency, exposure, and saturation. The new operator has been tested successfully on a large data set of both natural and synthetic images. It is competitive compared with modern optimization-based methods in terms of decolorized image visual quality while offering the advantage of being computationally simple, and temporally consistent when decolorizing video sequences." @default.
- W2896659092 created "2018-10-26" @default.
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- W2896659092 date "2018-01-01" @default.
- W2896659092 modified "2023-09-27" @default.
- W2896659092 title "Decolorization by Fusion" @default.
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- W2896659092 doi "https://doi.org/10.1109/access.2018.2876373" @default.
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