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Volume 37 Issue 11
Nov.  2015
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Yang Ai-ping, Zheng Jia, Wang Jian, He Yu-qing. Underwater Image Restoration Based on Color Cast Removal and Dark Channel Prior[J]. Journal of Electronics & Information Technology, 2015, 37(11): 2541-2547. doi: 10.11999/JEIT150483
Citation: Yang Ai-ping, Zheng Jia, Wang Jian, He Yu-qing. Underwater Image Restoration Based on Color Cast Removal and Dark Channel Prior[J]. Journal of Electronics & Information Technology, 2015, 37(11): 2541-2547. doi: 10.11999/JEIT150483

Underwater Image Restoration Based on Color Cast Removal and Dark Channel Prior

doi: 10.11999/JEIT150483
Funds:

The National Natural Science Foundation of China (61372145, 61472274, 61201371)

  • Received Date: 2015-04-28
  • Rev Recd Date: 2015-07-20
  • Publish Date: 2015-11-19
  • The imaging process of the underwater image is similar to the haze image. However, the dehazing methods fail when used in the underwater image restoration because of the color attenuation and blue (green) color tone, caused by the selective absorption of water and light scattering. Thus, this paper proposes a new approach for underwater images restoration based on the idea of removing backscattering after the color cast removal. Due to the attenuation of light in water, a color cast removal approach is proposed. The relationship between scattering coefficient and wavelength is used to obtain a more accurate transmission estimation for each color channel. In addition, an improved algorithm for background light estimation is presented, which can effectively avoid the influence of artificial light, white object and noise. Experimental results demonstrate the effectiveness of the proposed method in restoring the original color of the scene and removing the backscattering.
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