电子测量与仪器学报

王聪,薛晓军,李恒,张国银,王海瑞,赵磊.基于颜色校正和改进二维伽马函数的水下图像增强*[J].电子测量与仪器学报,2021,35(2):171-178

基于颜色校正和改进二维伽马函数的水下图像增强*

Underwater image enhancement based on color correction and improved 2D gamma function

DOI：

中文关键词: MSRCR 二维伽马函数 BEASF 拉普拉斯金字塔多权重融合

英文关键词:MSRCR 2D gamma function BEASF laplace pyramid multi weight fusion

基金项目:国家自然科学基金（61863016，61263023）项目资助

作者	单位
王聪	昆明理工大学信息工程与自动化学院昆明650500
薛晓军	昆明理工大学信息工程与自动化学院昆明650500
李恒	昆明理工大学信息工程与自动化学院昆明650500
张国银	昆明理工大学信息工程与自动化学院昆明650500
王海瑞	昆明理工大学信息工程与自动化学院昆明650500
赵磊	昆明理工大学信息工程与自动化学院昆明650500

Author	Institution
Wang Cong	Faculty of Information Engineering and Automation，Kunming University of Science and Technology，Kunming 650500,China
Xue Xiaojun	Faculty of Information Engineering and Automation，Kunming University of Science and Technology，Kunming 650500,China
Li Heng	Faculty of Information Engineering and Automation，Kunming University of Science and Technology，Kunming 650500,China
Zhang Guoyin	Faculty of Information Engineering and Automation，Kunming University of Science and Technology，Kunming 650500,China
Wang Hairui	Faculty of Information Engineering and Automation，Kunming University of Science and Technology，Kunming 650500,China
Zhao Lei	Faculty of Information Engineering and Automation，Kunming University of Science and Technology，Kunming 650500,China

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中文摘要:

针对由于光在水体中衰减、散射，造成捕捉的水下图像存在偏色、对比度低、清晰度差、光照不均等问题,提出一种基于颜色校正和改进二维伽马函数的水下图像增强方法。首先，用带颜色恢复的多尺度Retinex增强算法(MSRCR)校正偏色问题，获得一个输入图像；然后用改进的二维伽马函数降低光照不均匀对水下图像的影响，并用基于自适应Sigmoid函数双直方图均衡化（BEASF）增强图像对比度，获得另一个输入图像；最后结合对比度、显著性、饱和度、曝光度4个权重进行多权重融合，得到最终的增强图像。实验结果表明，该算法不仅能有效的改善水下图像偏色的问题，而且增强了图像的细节和对比度。

英文摘要:

Due to the attenuation and scattering of light in the water, the image captured underwater has the problems of color deviation, low contrast, poor definition and uneven illumination. In this paper, an underwater image enhancement method based on color correction and improved 2D gamma function is proposed. Firstly, MSRCR is used to correct the color deviation problem to obtain an input image; secondly, the improved two dimensional gamma function is used to reduce the influence of uneven illumination on the underwater image, and BEASF is used to enhance the image contrast to obtain another input image; finally, the four weights of contrast, saliency, saturation and exposure are combined for multi weight fusion to obtain the final enhancement image. Experimental results show that this algorithm can effectively improve the problem of underwater image color deviation, and enhance the details and contrast of the image.

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