INVERSE HALFTONE COLORIZATION: MAKING HALFTONE PRINTS COLOR PHOTOS

Yu Ting Yen, Chia Chi Cheng, Wei Chen Chiu

研究成果: Conference contribution同行評審

3 引文 斯高帕斯(Scopus)

摘要

We propose to address the Inverse Halftone Colorization task, which tries to recover colorful images from black and white halftone prints, and can be treated as the joint problem of inverse halftone and colorization. Although the inverse halftone colorization seems to be achievable via applying inverse halftone followed by colorization, our proposed method advances from two perspectives: (1) we empirically discover that the orders of cascading inverse halftone and colorization (i.e first inverse halftone then colorization versus the reverse order) would lead to results with different properties, hence a fusion scheme is proposed to integrate their results; (2) we introduce several novel losses to encourage the realness, diversity, and the structural coherence of the colorization. Moreover, our model is flexible to support both exemplar-based and random colorization. We conduct extensive experiments to demonstrate the efficacy of our method as well as verify the contributions of our design choices.

原文English
主出版物標題2021 IEEE International Conference on Image Processing, ICIP 2021 - Proceedings
發行者IEEE Computer Society
頁面1734-1738
頁數5
ISBN(電子)9781665441155
DOIs
出版狀態Published - 2021
事件2021 IEEE International Conference on Image Processing, ICIP 2021 - Anchorage, United States
持續時間: 19 9月 202122 9月 2021

出版系列

名字Proceedings - International Conference on Image Processing, ICIP
2021-September
ISSN(列印)1522-4880

Conference

Conference2021 IEEE International Conference on Image Processing, ICIP 2021
國家/地區United States
城市Anchorage
期間19/09/2122/09/21

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