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A New Shadow Removal Method Using Color-Lines

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Computer Analysis of Images and Patterns (CAIP 2017)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10425))

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Abstract

In this paper, we present a novel method for single-image shadow removal. From the observation of images with shadow, we find that the pixels from the object with same material will form a line in the RGB color space as illumination changes. Besides, we find these lines do not cross with the origin due to the effect of ambient light. Thus, we establish an offset correction relationship to remove the effect of ambient light. Then we derive a linear shadow image model to perform color-line identification. With the linear model, our shadow removal method is proposed as following. First, perform color-line clustering and illumination estimation. Second, use an on-the-fly learning method to detect umbra and penumbra. Third, estimate the shadow scale by the statistics of shadow-free regions. Finally, refine the shadow scale by illumination optimization. Our method is simple and effective for producing high-quality shadow-free images and has the ability for processing scenes with rich texture types and non-uniform shadows.

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Acknowledgments

This work was supported by the grant of National Science Foundation of China (No. U1611461), Shenzhen Peacock Plan (20130408-183003656), Guangdong Province Projects (2014B010117007), and Science and Technology Planning Project of Guangdong Province, China (No. 2014B090910001).

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Authors and Affiliations

  1. School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, Shenzhen, China

    Xiaoming Yu, Ge Li & Zhenqiang Ying

  2. Computer Science and Technology, Dalian University of Technology, Dalian, China

    Xiaoming Yu

  3. Academy of Broadcasting Science, SAPPRFT, Peking, China

    Xiaoqiang Guo

Authors
  1. Xiaoming Yu
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  2. Ge Li
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  3. Zhenqiang Ying
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  4. Xiaoqiang Guo
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Corresponding author

Correspondence to Ge Li .

Editor information

Editors and Affiliations

  1. Linköping University, Linköping, Sweden

    Michael Felsberg

  2. Lund University, Lund, Sweden

    Anders Heyden

  3. University of Southern Denmark, Odense, Denmark

    Norbert Krüger

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Yu, X., Li, G., Ying, Z., Guo, X. (2017). A New Shadow Removal Method Using Color-Lines. In: Felsberg, M., Heyden, A., Krüger, N. (eds) Computer Analysis of Images and Patterns. CAIP 2017. Lecture Notes in Computer Science(), vol 10425. Springer, Cham. https://doi.org/10.1007/978-3-319-64698-5_26

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  • DOI: https://doi.org/10.1007/978-3-319-64698-5_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-64697-8

  • Online ISBN: 978-3-319-64698-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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