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图学学报

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基于暗原色先验原理的水下图像增强

  

  1. 1. 江苏科技大学机械工程学院,江苏镇江 212003;
    2. 江苏科技大学江苏省船海机械先进制造及工艺重点实验室,江苏镇江 212003
  • 出版日期:2018-06-30 发布日期:2018-07-10
  • 基金资助:
    江苏省重点项目(BE2016009);江苏省研究生科研与实践创新计划项目(SJCX17-0606);江苏科技大学2016年研究生科研实践计划项目
    (YSJ16S-06)

Underwater Image Enhancement Based on the Principle of Dark Channel Prior

  1. 1. School of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang Jiangsu 212003, China;
    2. Key Laboratory of Advanced Manufacture and Process for Marine Mechanical Equipment in Jiangsu Province, Jiangsu University of Science and
    Technology, Zhenjiang Jiangsu 212003, China
  • Online:2018-06-30 Published:2018-07-10

摘要: 针对水下光衰减和散射导致的图像严重降质问题和用传统方法进行水下图像增强
产生色偏现象,提出一种新的水下图像增强方法。基于暗原色先验原理进行水下图像增强,用
软抠图的方法对图像暗通道进行细化;在图像前0.1%最亮的像素点中,用中值滤波算法计算出
这些像素点的中值,再计算这些像素点和与之对应的中值的差值,差值最小的像素点作为背景
光的预估值,并用该像素点所在区域颜色饱和度方差来判断预估背景光的准确性;利用Retinex
算法和图像各颜色通道的衰减系数比对增强后的图像进行颜色校正。实验表明,该方法能有效
地去除水下图像中的雾色、校正图像色偏问题,进而提高图像对比度。

关键词: 水下图像增强, 暗原色先验, 背景光估计, 颜色校正

Abstract: In view of the serious degradation of the underwater images caused by underwater light
attenuation and scattering, a new method of underwater image enhancement is proposed in this paper.
The new method based on the principle of dark channel prior conducts underwater image
enhancement and image thinning on dark channel by the method of soft matting. In the first 0.1%
brightest pixels of the image, the medians of these pixels are calculated through the median filtering
algorithm. Then, the differences between these pixels and their corresponding medians are calculated,
and the pixel of minimum difference is employed as an estimate of the background light. The
accuracy of the estimated background light is judged by the color saturation variance of the region
around the pixel. Afterwards, the Retinex algorithm and the ratio of attenuation coefficients for each
color channel are adopted to conduct color correcting for enhancement images. It is shown by
experiments that the proposed method can effectively dehaze the underwater images, correct the color
cast of images and further enhance the image contrast.

Key words: underwater image enhancement, dark channel prior, background light estimation, color
correction