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A fast algorithm for color image enhancement with total variation regularization

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Abstract

In this paper, a novel algorithm for color image enhancement is proposed. The proposed method, which is based on Retinex theory and total variational framework, improves the original variational method by using a TV penalty term to force spatial smoothness on the reflectance image. The split Bregman algorithm is employed to solve the proposed model. By practical experiments, it is verified that our method obtains better enhancement performance and much better calculation efficiency.

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Authors and Affiliations

  1. School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China

    Ming Li

  2. Key Laboratory of Education Ministry for Image Processing and Intelligent Control, Wuhan, 430074, China

    Ming Li

Authors
  1. Ming Li
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Correspondence to Ming Li.

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Li, M. A fast algorithm for color image enhancement with total variation regularization. Sci. China Inf. Sci. 53, 1913–1916 (2010). https://doi.org/10.1007/s11432-010-4039-0

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  • DOI: https://doi.org/10.1007/s11432-010-4039-0

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