摘要
由于光在水下传播会发生吸收和散射,导致采集的水下图像出现模糊、对比度低、色偏、光照不均匀等问题。针对以上问题,提出了一种改进的伽马校正与多尺度融合的水下图像增强算法。首先基于G通道对R和B通道进行补偿,并对RGB三通道进行直方图拉伸后使用灰度世界(Gray World)算法得到颜色校正图像;然后使用改进的伽马函数改善颜色校正后图像光照不均匀问题,得到光照均匀图像,并进行归一化处理;再对光照均匀图像使用限制对比度的自适应直方图均衡化(contrast limited adaptive histogram equalization,CLAHE)算法得到对比度提升图像;最后采用多尺度融合算法对以上得出的3幅图片进行融合,得出增强图像。实验结果表明,提出的算法对不同水下环境的图像均有较好的处理效果,图像质量评价指标得到明显提高。
As the absorption and scattering of light in underwater propagation,problems such as fuzzy,low contrast,color deviation and uneven illumination appear in underwater images taken.In view of the above problems,an improved underwater enhancement algorithm based on Gamma correction and multi-scale fusion is proposed.Firstly,Red and Blue channels are compensated based on Green channel,and the correction image is obtained by Gray World algorithm after histogram stretching of RGB three channels.Then,the color corrected image is corrected for uneven illumination by using the improved Gamma function to obtain the uneven illumination corrected image,and the illumination uniformity image is normalized.Then,the contrast of the image after uneven illumination correction is improved by contrast limited adaptive histogram equalization(CLAHE)algorithm to obtain the contrast improved image.Finally,the multi-scale fusion algorithm is used to fuse the above three images to obtain the enhanced image.Experimental results show that the proposed algorithm has good processing effects on images in different underwater environments,and the image quality evaluation index is significantly improved.
作者
李华昆
李恒
赵磊
王海瑞
LI Huakun;LI Heng;ZHAO Lei;WANG Hairui(Faculty of Information Engineering and Automation,Kunming University of Science and Technology,Kunming,Yunnan 650500,China)
出处
《光电子．激光》
CAS
CSCD
北大核心
2022年第7期700-708,共9页
Journal of Optoelectronics·Laser
基金
国家自然科学基金(61863016)
地区科学基金(61263023)资助项目
关键词
通道补偿
伽马校正
限制对比度的自适应直方图均衡化
多尺度融合
channel compensation
Gamma correction
contrast limited adaptive histogram equalization(CLAHE)
multi-scale fusion
