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基于改进的MSRCR-CLAHE融合的水下图像增强算法
引用本文:马敏慧,王红茹,王佳.基于改进的MSRCR-CLAHE融合的水下图像增强算法[J].红外技术,2023,45(1):23-32.
作者姓名:马敏慧  王红茹  王佳
作者单位:1.江苏科技大学 机械工程学院,江苏 镇江 212003
基金项目:国家重点研发计划资助项目2018YFC0309100
摘    要:针对海洋复杂成像环境导致的水下图像出现颜色衰退、对比度低等问题,提出一种改进的带色彩恢复的多尺度视网膜(Multi-Scale Retinex with Color Restore,MSRCR)与限制对比度自适应直方图均衡化(Contrast Limited Adaptive Histogram Equalization,CLAHE)多尺度融合的水下图像增强算法。首先,采用带有导向滤波的MSRCR算法解决水下图像颜色衰退的问题;其次,采用带有Gamma校正的CLAHE算法以提高水下图像的对比度;最后,对经过改进的MSRCR和CLAHE处理后的图像进行多尺度融合以获得细节增强后的水下图像。实验结果表明,和其他算法相比,文中算法的峰值信噪比(Peak Signal to Noise Ratio,PSNR)平均提高了9.3914、结构相似性(Structural Similarity Index Measure,SSIM)平均提高了0.3013、水下图像评价指标(Underwater Image Quality Evaluation,UIQE)平均提高了4.7047,能实现水下图像的有效增强...

关 键 词:水下图像增强  CLAHE增强  带颜色恢复的多尺度Retinex  导向滤波  Gamma校正  多尺度融合
收稿时间:2022-02-20

An Underwater Image Enhancement Algorithm Based on Improved MSRCR-CLAHE Fusion
Affiliation:1.School of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang 212003, China2.Key Laboratory of Advanced Manufacture and Process for Marine Mechanical Equipment Research Institute, Jiangsu University of Science and Technology, Zhenjiang 212003, China
Abstract:To address the problems of color fading and low contrast in underwater images caused by the complex imaging environment in the ocean, improved Multi-Scale Retinex with Color Restore (MSRCR) and Contrast Limited Adaptive Histogram Equalization (CLAHE) multi-scale fusion algorithms for underwater image enhancement are proposed. First, the MSRCR algorithm with guided filtering was used to solve the problem of underwater image color fading. Second, the CLAHE algorithm with Gamma correction was used to improve the contrast of underwater images. Finally, the improved MSRCR and CLAHE images were fused at multi-scale to obtain an underwater image with enhanced detail. The experimental results show that, compared with other algorithms, the Peak Signal-To-Noise Ratio (PSNR) of the proposed algorithm is improved by 9.3914 on average, and the Structural Similarity Index Measure (SSIM) and Underwater Image Quality Evaluation (UIQE) increased by 0.3013 and 4.7047 on average, respectively, which can realize the effective enhancement of underwater images.
Keywords:
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