Removal of spatial inconsistencies in automated image colorization using parameter-free clustering and convolutional neural networks
Given a grayscale photograph, this paper tackles the issue of fantasizing about a conceivable shading rendition of the photograph. This issue is underconstrained, so past methodologies have either depended on significant human cooperation or came about in desaturated colorizations. We propose a whol...
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Veröffentlicht in: | Signal, image and video processing image and video processing, 2022-06, Vol.16 (4), p.1011-1018 |
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Sprache: | eng |
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