基于色彩衰减补偿和改进的Retinex水下图像增强
Underwater image enhancement based on color decay compensation and improved Retinex
胡记文 1韩斌 1张飞 1张凡1
作者信息
- 1. 江苏科技大学计算机学院,江苏镇江 212100
- 折叠
摘要
针对水下图像通常受到色偏、噪声和细节模糊的影响,且难以适应于各类视觉任务的问题,本文提出一种基于色彩衰减补偿和改进的多尺度Retinex的水下图像增强方法.首先针对水下图像出现色偏的问题,将水下图像分离为强、中、弱3个通道,且分别对3个通道进行不同尺度的颜色补偿,其次通过改进的多尺度Retinex算法增加边缘细节和对比度,在估计图像的光照分量时,用引导滤波替换高斯滤波,最后结合自适应伽马函数对光照分量进行校正.实验结果表明,本文方法能够有效改善不同场景下水下图像出现的色偏问题,能够提高对比度的同时增加图像细节,让水下图像的质量得到明显提升.
Abstract
Aiming at the problem that underwater images are usually affected by color deviation,noise and detail blur-ring,and it is difficult to be adapted to all kinds of visual tasks,this paper proposes a method of underwater image enhance-ment based on color attenuation compensation and improved multi-scale Retinex.Firstly,to address the problem of color de-viation in underwater images,the underwater images are separated into three channels:strong,medium and weak,and differ-ent scales of color compensation are applied to the three channels,secondly,the edge details and contrast are increased by the improved multi-scale Retinex algorithm,and the Gaussian filter is replaced by the guided filter in estimating the light com-ponent of the images,and finally the light component is corrected by combining with the adaptive gamma function.The ex-perimental results show that the method in this paper can effectively improve the color bias problem occurring in underwater images under different scenes,and can improve the contrast while increasing the image details,so that the quality of under-water images can be significantly improved.
关键词
色彩衰减补偿/多尺度Retinex/引导滤波/自适应伽马函数Key words
color attenuation compensation/multi-scale Retinex/guided filtering/adaptive gamma function引用本文复制引用
基金项目
国家自然科学基金资助项目(61702234)
船舶总体性能创新研究开放基金项目(25422217)
出版年
2024
NETL
NSTL
万方数据