• Acta Optica Sinica
  • Vol. 39, Issue 9, 0901002 (2019)
Guolin Wang1、2、3, Jiandong Tian1、2、*, and Pengyue Li1、2、4
Author Affiliations
  • 1 State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China
  • 2 Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China
  • 3 University of Chinese Academy of Sciences, Beijing 100049, China
  • 4 Faculty of Robot Science and Engineering, Northeastern University, Shenyang, Liaoning 110819, China
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    DOI: 10.3788/AOS201939.0901002 Cite this Article Set citation alerts
    Guolin Wang, Jiandong Tian, Pengyue Li. Image Color Correction Based on Double Transmission Underwater Imaging Model[J]. Acta Optica Sinica, 2019, 39(9): 0901002 Copy Citation Text show less

    Abstract

    We propose an image color correction algorithm based on a double transmission underwater imaging model to solve the color distortion problem associated with the underwater images. First, we divide the transmission as direct component transmission and backscatter component transmission based on the underwater imaging model. Subsequently, the backscatter component transmission is obtained by a red-dark channel prior, the background light is accurately estimated, and the direct component transmission of three channels is obtained based on the non-degenerate pixel points. Finally, both the transmissions are inserted into the imaging model to obtain the restored image. The experimental results demonstrate that the proposed algorithm can effectively remove the color cast of underwater images by relying only on the physical model.
    Guolin Wang, Jiandong Tian, Pengyue Li. Image Color Correction Based on Double Transmission Underwater Imaging Model[J]. Acta Optica Sinica, 2019, 39(9): 0901002
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