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Image colorization processes a daunting task, and this research paper proposes a relevant model for the prediction of A and B models for LAB color space and it makes a direct use the lightness . This review classifies the papers according to these criteria intagrally and with a relatively large number of papers. Circuits Syst. al. https://doi.org/10.1007/978-3-319-46487-9_40, Vitoria, P., Raad, L., Ballester, C.: ChromaGAN: adversarial picture colorization with semantic class distribution. We embrace the underlying uncertainty of the problem by posing it as a classification task and use class-rebalancing at training time to increase the diversity of colors in the result. Advances in Graphic Communication, Printing and Packaging. PubMedGoogle Scholar. Pattern Anal. 26(11), 54915505 (2017). 26(11), 51885202 (2017). : Microsoft COCO: common objects in context. 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