基于Retinex的亮度-梯度协同引导色调映射算法  

Luminance-Gradient Co-guidance Tone Mapping Algorithm Based on Retinex

作　　者：方雪来 冯象初 FANG Xuelai;FENG Xiangchu(School of Mathematics and Statistics,Xidian University,Xi’an 710071,China)

机构地区：[1]西安电子科技大学数学与统计学院,西安710071

出　　处：《吉林大学学报（理学版）》2023年第5期1178-1186,共9页Journal of Jilin University:Science Edition

基　　金：国家自然科学基金(批准号:61772389,61972264).

摘　　要：针对梯度域色调映射方法在图像主观显示性能方面存在的不足,利用人类视觉系统的感知能力和梯度域方法,提出一种基于Retinex理论的亮度-梯度协同引导色调映射算法.首先,提出作用域感知的自适应归一化方法,针对不同作用域算法构造归一化映射;然后,引入Retinex亮度引导项对背景亮度进行估计,并基于梯度引导项对图像进行动态范围压缩;最后,将亮度、梯度引导项联合进行统一建模,用指数平均局部方差权重抑制光晕.实验结果表明,该算法在动态范围压缩的同时抑制了过饱和与伪影现象,具有良好的视觉效果和鲁棒性.Aiming at the shortcomings of gradient-domain tone mapping methods in subjective display performance,we proposed a luminance-gradient co-guidance tone mapping algorithm based on Retinex theory by using the perceptual ability of the human visual system and the gradient-domain method.Firstly,a domain-aware adaptive normalization method was proposed to construct normalized mappings for different domain algorithms.Secondly,a Retinex luminance guidance term was introduced to estimate the background luminance,and the dynamic range of the image was compressed based on the gradient guidance term.Finally,the luminance and gradient guidance terms were combined for unified modeling,and the exponential mean local variance weight was used to suppress halos.The experimental results show that the algorithm suppresses oversaturation and artifacts while compressing the dynamic range,and has good visual effects and robustness.

关 键 词：高动态范围图像 色调映射 RETINEX理论 图像重建 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]