Joint Deep Estimation of Intrinsic and Dichromatic Image Decomposition

被引:0
|
作者
Ha, Jeong-Won [1 ]
Lee, Kang-Kyu [1 ]
Kim, Jong-Ok [1 ]
机构
[1] Korea Univ, Sch Elect Engn, Seoul 02841, South Korea
基金
新加坡国家研究基金会;
关键词
Reflectivity; Reflection; Lighting; Image decomposition; Image color analysis; Estimation; Surface treatment; Intrinsic image decomposition; dichromatic model; color constancy; AC light; high-speed video; HIGHLIGHT REMOVAL; REFLECTION; SEPARATION; COLOR;
D O I
10.1109/ACCESS.2023.3271114
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper proposes an image formation model that jointly combines dichromatic and intrinsic image decomposition models. The two decomposition models analyze image formation process from a different perspective, and they can be combined synergistically. It is confirmed that the proposed method performs better than the individual decomposition. The joint estimation and the study of the decomposition order ('intrinsic + dichromatic' or 'dichromatic + intrinsic') are the first attempt to the best of our knowledge. It was confirmed that the proposed 'intrinsic + dichromatic' is more optimal through experimental evaluations. We also exploit the temporal property of AC light sources, which can further improve the decomposition performance. The experimental results show that the proposed model can make an accurate image decomposition and achieve a remarkable color constancy performance.
引用
收藏
页码:41770 / 41782
页数:13
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