Polarimetric image recovery method combining histogram stretching for underwater imaging.

Xiaobo Li, Haofeng Hu, Lin Zhao, Hui Wang, Yin Yu, Lan Wu, Tiegen Liu
Author Information
  1. Xiaobo Li: School of Precision Instrument & Opto-electronics Engineering, Tianjin University, Tianjin, 300072, China.
  2. Haofeng Hu: School of Precision Instrument & Opto-electronics Engineering, Tianjin University, Tianjin, 300072, China. haofeng_hu@tju.edu.cn.
  3. Lin Zhao: School of Precision Instrument & Opto-electronics Engineering, Tianjin University, Tianjin, 300072, China.
  4. Hui Wang: School of Precision Instrument & Opto-electronics Engineering, Tianjin University, Tianjin, 300072, China.
  5. Yin Yu: School of Precision Instrument & Opto-electronics Engineering, Tianjin University, Tianjin, 300072, China.
  6. Lan Wu: State Key Laboratory of Modern Optical Instrumentation, Zhejiang University, Zhejiang, 310027, China.
  7. Tiegen Liu: School of Precision Instrument & Opto-electronics Engineering, Tianjin University, Tianjin, 300072, China.

Abstract

The underwater imaging could be severely degraded by the scattering media because of the backscattered light and signal attenuation, especially in the case of strong scattering for dense turbid medium. In this paper, we propose an improved method for recovering the underwater image combining the histogram stretching and polarimetric recovery in a proper way. In this method, we stretch the histograms of the orthogonal polarization images while maintaining the polarization relation between them, and then, based on the processed orthogonal polarization images, the recovered image with higher quality can be obtained by the traditional polarimetric recovery method. Several groups of experimental results demonstrate that the quality of underwater images can be effectively enhanced by our method, and its performance is better than that of the traditional polarimetric recovery method. In particular, the proposed method is also quite effective in the condition of dense turbid medium.

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Grants

  1. 15JCQNJC02000/Natural Science Foundation of Tianjin City (Natural Science Foundation of Tianjin)
  2. 61775163/National Natural Science Foundation of China (National Science Foundation of China)

Word Cloud

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