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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence

Cycle-CNN for Colorization towards Real Monochrome-Color Camera Systems

February 1, 2023

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Authors

Xuan Dong

Beijing University of Posts and Telecommunications


Weixin Li

Beihang University


Xiaojie Wang

Beijing University of Posts and Telecommunications


Yunhong Wang

Beihang University


DOI:

10.1609/aaai.v34i07.6700


Abstract:

Colorization in monochrome-color camera systems aims to colorize the gray image IG from the monochrome camera using the color image RC from the color camera as reference. Since monochrome cameras have better imaging quality than color cameras, the colorization can help obtain higher quality color images. Related learning based methods usually simulate the monochrome-color camera systems to generate the synthesized data for training, due to the lack of ground-truth color information of the gray image in the real data. However, the methods that are trained relying on the synthesized data may get poor results when colorizing real data, because the synthesized data may deviate from the real data. We present a new CNN model, named cycle CNN, which can directly use the real data from monochrome-color camera systems for training. In detail, we use the colorization CNN model to do the colorization twice. First, we colorize IG using RC as reference to obtain the first-time colorization result IC. Second, we colorize the de-colored map of RC, i.e. RG, using the first-time colorization result IC as reference to obtain the second-time colorization result R′C. In this way, for the second-time colorization result R′C, we use the original color map RC as ground-truth and introduce the cycle consistency loss to push R′C ≈ RC. Also, for the first-time colorization result IC, we propose a structure similarity loss to encourage the luminance maps between IG and IC to have similar structures. In addition, we introduce a spatial smoothness loss within the colorization CNN model to encourage spatial smoothness of the colorization result. Combining all these losses, we could train the colorization CNN model using the real data in the absence of the ground-truth color information of IG. Experimental results show that we can outperform related methods largely for colorizing real data.

Topics: AAAI

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Xuan Dong||Weixin Li||Xiaojie Wang||Yunhong Wang Cycle-CNN for Colorization towards Real Monochrome-Color Camera Systems Proceedings of the AAAI Conference on Artificial Intelligence (2020) 10721-10728.

Xuan Dong||Weixin Li||Xiaojie Wang||Yunhong Wang Cycle-CNN for Colorization towards Real Monochrome-Color Camera Systems AAAI 2020, 10721-10728.

Xuan Dong||Weixin Li||Xiaojie Wang||Yunhong Wang (2020). Cycle-CNN for Colorization towards Real Monochrome-Color Camera Systems. Proceedings of the AAAI Conference on Artificial Intelligence, 10721-10728.

Xuan Dong||Weixin Li||Xiaojie Wang||Yunhong Wang. Cycle-CNN for Colorization towards Real Monochrome-Color Camera Systems. Proceedings of the AAAI Conference on Artificial Intelligence 2020 p.10721-10728.

Xuan Dong||Weixin Li||Xiaojie Wang||Yunhong Wang. 2020. Cycle-CNN for Colorization towards Real Monochrome-Color Camera Systems. "Proceedings of the AAAI Conference on Artificial Intelligence". 10721-10728.

Xuan Dong||Weixin Li||Xiaojie Wang||Yunhong Wang. (2020) "Cycle-CNN for Colorization towards Real Monochrome-Color Camera Systems", Proceedings of the AAAI Conference on Artificial Intelligence, p.10721-10728

Xuan Dong||Weixin Li||Xiaojie Wang||Yunhong Wang, "Cycle-CNN for Colorization towards Real Monochrome-Color Camera Systems", AAAI, p.10721-10728, 2020.

Xuan Dong||Weixin Li||Xiaojie Wang||Yunhong Wang. "Cycle-CNN for Colorization towards Real Monochrome-Color Camera Systems". Proceedings of the AAAI Conference on Artificial Intelligence, 2020, p.10721-10728.

Xuan Dong||Weixin Li||Xiaojie Wang||Yunhong Wang. "Cycle-CNN for Colorization towards Real Monochrome-Color Camera Systems". Proceedings of the AAAI Conference on Artificial Intelligence, (2020): 10721-10728.

Xuan Dong||Weixin Li||Xiaojie Wang||Yunhong Wang. Cycle-CNN for Colorization towards Real Monochrome-Color Camera Systems. AAAI[Internet]. 2020[cited 2023]; 10721-10728.


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
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Artificial Intelligence 1900 Embarcadero Road, Suite
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