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RETRACTED ARTICLE: Single image shadow detection and removal based on feature fusion and multiple dictionary learning

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This article was retracted on 20 September 2022

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Abstract

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 sensitive to the high frequency part of the image, and the high frequency part expresses most of the semantic information of the image. At the same time, the high frequency characteristic of the high and low resolution image is adopted in the dictionary training, which can effectively recover the loss in the high resolution image with high frequency information. This paper presents the integration of compressive sensing model with feature extraction to construct the two-stage methodology. Therefore, the feature fusion algorithm is applied to the dictionary training procedure to finalize the robust model. Simulation results proves the effectiveness of the model, which outperforms compared with the other state-of-the-art algorithms.

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Authors and Affiliations

  1. Key Laboratory of Quark and Lepton Physics (MOE) and College of Physics Science and Technology, Central China Normal University, Wuhan, China

    Qi Chen & Guoping Zhang

  2. College of Education Information and Technology, Hubei Normal University, Huangshi, China

    Qi Chen, Xingben Yang & Shuming Li

  3. Xiangnan University, Chenzhou, China

    Yalan Li

  4. Cornell University, Ithaca, NY, USA

    Harry Haoxiang Wang

  5. GoPerception Laboratory, Ithaca, NY, USA

    Harry Haoxiang Wang

Authors
  1. Qi Chen
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  2. Guoping Zhang
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  3. Xingben Yang
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  4. Shuming Li
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  5. Yalan Li
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  6. Harry Haoxiang Wang
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Corresponding author

Correspondence to Harry Haoxiang Wang.

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Chen, Q., Zhang, G., Yang, X. et al. RETRACTED ARTICLE: Single image shadow detection and removal based on feature fusion and multiple dictionary learning. Multimed Tools Appl 77, 18601–18624 (2018). https://doi.org/10.1007/s11042-017-5299-0

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  • DOI: https://doi.org/10.1007/s11042-017-5299-0

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