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CLC number: TN919.8

On-line Access: 2024-08-27

Received: 2023-10-17

Revision Accepted: 2024-05-08

Crosschecked: 2008-11-10

Cited: 1

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Journal of Zhejiang University SCIENCE A 2008 Vol.9 No.12 P.1631-1637

http://doi.org/10.1631/jzus.A0820075


Color compensation for multi-view video coding based on diversity of cameras


Author(s):  Jun-yan HUO, Yi-lin CHANG, Hai-tao YANG, Shuai WAN

Affiliation(s):  State Key Lab of Integrated Service Networks, Xidian University, Xi’ more

Corresponding email(s):   jyhuo@mail.xidian.edu.cn

Key Words:  Multi-view video coding (MVC), H.264/AVC, Color compensation, Diversity of cameras


Jun-yan HUO, Yi-lin CHANG, Hai-tao YANG, Shuai WAN. Color compensation for multi-view video coding based on diversity of cameras[J]. Journal of Zhejiang University Science A, 2008, 9(12): 1631-1637.

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author="Jun-yan HUO, Yi-lin CHANG, Hai-tao YANG, Shuai WAN",
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publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A0820075"
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T1 - Color compensation for multi-view video coding based on diversity of cameras
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A1 - Yi-lin CHANG
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Abstract: 
A novel color compensation method for multi-view video coding (MVC) is proposed, which efficiently exploits the inter-view dependencies between views with the existence of color mismatch caused by the diversity of cameras. A color compensation model is developed in RGB channels and then extended to YCbCr channels for practical use. A modified inter-view reference picture is constructed based on the color compensation model, which is more similar to the coding picture than the original inter-view reference picture. Moreover, the color compensation factors can be derived in both encoder and decoder, therefore no additional data need to be transmitted to the decoder. The experimental results show that the proposed method improves the coding efficiency of MVC and maintains good subjective quality.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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