Single image shadow detection and removal based on feature fusion and multiple dictionary learning

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成果类型：

期刊论文

作者：

Chen, Qi;Zhang, Guoping（张国平）;Yang, Xingben;Li, Shuming;Li, Yalan;...

通讯作者：

Wang, Harry Haoxiang

作者机构：

[Zhang, Guoping; Chen, Qi] Cent China Normal Univ, Key Lab Quark & Lepton Phys MOE, Wuhan, Hubei, Peoples R China.

[Zhang, Guoping; Chen, Qi] Cent China Normal Univ, Coll Phys Sci & Technol, Wuhan, Hubei, Peoples R China.

[Chen, Qi; Yang, Xingben; Li, Shuming] Hubei Normal Univ, Coll Educ Informat & Technol, Huangshi, Peoples R China.

[Li, Yalan] Xiangnan Univ, Chenzhou, Peoples R China.

[Wang, Harry Haoxiang] Cornell Univ, Ithaca, NY 14850 USA.

通讯机构：

[Wang, Harry Haoxiang] C

[Wang, Harry Haoxiang] G

Cornell Univ, Ithaca, NY 14850 USA.

GoPercept Lab, Ithaca, NY 14850 USA.

语种：

英文

关键词：

Single Image;Shadow Detection;Shadow Removal;Feature Fusion;Dictionary Learning;Compressive Sensing

期刊：

Multimedia Tools and Applications

ISSN：

1380-7501

年：

2018

卷：

期：

页码：

18601-18624

DOI：

10.1007/s11042-017-5299-0

机构署名：

本校为第一机构

院系归属：

物理科学与技术学院

摘要：

In recent years, the analysis of natural image has made great progress while the image of the intrinsic component analysis can solve many computer vision problems, such as the image shadow detection and removal. This paper presents the novel model, which integrates the feature fusion and the multiple dictionary learning. Traditional model can hardly handle the challenge of reserving the removal accuracy while keeping the low time consuming. Inspire by the compressive sensing theory, traditional single dictionary scenario is extended to the multiple condition. The human visual system is more se...

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Single image shadow detection and removal based on feature fusion and multiple dictionary learning

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