基于图像融合的水下光照不均匀图像增强算法  

Image Enhancement Algorithm of Underwater Uneven Illumination Based on Image Fusion

作　　者：李广豪 席志红[1] LI Guang-hao;XI Zhi-hong(College of Information and Communication Engineering,Harbin Engineering University,Harbin Heilongjiang 150001,China)

机构地区：[1]哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨150001

出　　处：《计算机仿真》2023年第4期330-335,共6页Computer Simulation

基　　金：国家自然科学基金项目(60875025)。

摘　　要：在水下探测过程中,环境光照条件多变,采集的图像中由于光照不均匀,会导致一些重要的细节信息无法被表达甚至丢失,严重影响了图像的视觉效果及其用途。针对上述问题,提出一种改进的水下融合算法,将自适应伽马校正算法,MSRCR算法,CLAHE算法,锐化算法和水下图像融合增强算法相结合。通过自适应伽马校正算法改善图像光照不均匀区域;通过CLAHE扩大局部对比度,降低噪声;利用MSRCR算法弥补由于局部对比度增大造成的颜色失真;利用图像锐化弥补伽马校正造成的细节损失;通过图像融合算法融合不同图像的优势。实验结果表明,文中算法可以较好地解决光照不均匀和色偏的问题,改善图像的对比度,提升图像整体的视觉效果。In the process of underwater detection,the illumination conditions of the environment are changeable.Due to uneven illumination,the important details can't be expressed or even lost,which seriously affects the visual effects and uses of the images.To solve the above problems,an improved underwater image fusion algorithm is proposed,which combines adaptive gamma correction algorithm,MSRCR algorithm,CLAHE algorithm,sharpening algorithm and underwater image fusion enhancement algorithm.The adaptive gamma correction algorithm is used to improve the uneven illumination area;CLAHE is used to enlarge local contrast and reduce noise;the MSRCR algorithm is used to compensate for the color distortion caused by the increase of local contrast.The detail loss caused by gamma correction is compensated by image sharpening.The advantages of different images are fused by the image fusion algorithm.The experimental results show that the algorithm can solve the problem of uneven illumination and color deviation,improve the contrast of the image and enhance the overall visual effect of the image.

关 键 词：光照不均匀 图像融合 伽马变换 限制对比度的直方图均衡 锐化 

分 类 号：TP317.4[自动化与计算机技术—计算机软件与理论]