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基于颜色失真去除与暗通道先验的水下图像复原

杨爱萍 郑佳 王建 何宇清

杨爱萍, 郑佳, 王建, 何宇清. 基于颜色失真去除与暗通道先验的水下图像复原[J]. 电子与信息学报, 2015, 37(11): 2541-2547. doi: 10.11999/JEIT150483
引用本文: 杨爱萍, 郑佳, 王建, 何宇清. 基于颜色失真去除与暗通道先验的水下图像复原[J]. 电子与信息学报, 2015, 37(11): 2541-2547. doi: 10.11999/JEIT150483
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

基于颜色失真去除与暗通道先验的水下图像复原

doi: 10.11999/JEIT150483
基金项目: 

国家自然科学基金(61372145, 61472274, 61201371)

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

Funds: 

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

  • 摘要: 水下图像成像过程与雾天图像虽然类似,但因水对光的选择性吸收和光的散射作用,水下图像存在颜色衰减并呈现蓝(绿)色基调,传统的去雾方法用于水下图像复原时效果欠佳。针对这类方法出现的缺点,该文根据先去除颜色失真后去除背景散射的思路,提出一种新的水下图像复原方法。结合光在水中的衰减特性,提出适用于水下图像的颜色失真去除方法,并利用散射系数与波长的关系修正各通道透射率;另外,该文改进的背景光估计方法可有效避免人工光源、白色物体、噪声等影响。实验结果证明,该文方法在恢复场景物体原本颜色和去除背景散射方面效果良好。
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出版历程
  • 收稿日期:  2015-04-28
  • 修回日期:  2015-07-20
  • 刊出日期:  2015-11-19

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