基于色彩均衡和图像融合的水下图像增强方法研究
Research on Underwater Image Enhancement Method Based on Color Balance and Image Fusion
毛慧琴1
作者信息
- 1. 北海职业学院,广西 北海 536000
- 折叠
摘要
介绍一种基于色彩均衡和图像融合的水下图像恢复方法.首先利用白平衡算法校正图像色偏,其次将校正的图像进行多尺度融合.融合处理过程主要完成伽马校正处理后提升对比度的图像和锐化处理增强边缘细节后的图像的显著性权重和饱和度权重计算,最后多尺度融合两个图谱计算后的权重得到最终的水下增强图像.实验结果表明,所提出的算法能够显著改善图像的暗区曝光度,提升全局对比度和边缘清晰度.
Abstract
This paper introduces a method of underwater image restoration based on color balance and image fusion.Firstly,white balance algorithm is used to correct the color bias of the image,and then multi-scale fusion of the corrected image is performed.The fusion processing mainly completes the calculation of the significance weight and saturation weight of the image with enhanced contrast after gamma correction processing and the image with enhanced edge details after sharpening processing.Finally,the multi-scale fusion of the weights calculated by the two maps can obtain the final underwater enhanced image.Experimental results show that the proposed algorithm can significantly improve the dark area exposure,global contrast and edge sharpness of the image.
关键词
水下/白平衡/图像融合Key words
underwater/white balance/image fusion引用本文复制引用
出版年
2024
NETL
NSTL
万方数据