宏微观信息增强与色彩校正的高效色调映射  

Efficient tone mapping via macro and micro information enhancement and color correction

作　　者：朱仲杰[1,2] 崔伟锋 白永强[1] 井维一 金敏红 Zhu Zhongjie;Cui Weifeng;Bai Yongqiang;Jing Weiyi;Jin Minhong(Ningbo Key Laboratory of DSP,Zhejiang Wanli University,Ningbo 315000,China;Physical Engineering College,Zhengzhou University,Zhengzhou 450000,China)

机构地区：[1]浙江万里学院宁波市DSP重点实验室,宁波315000 [2]郑州大学物理工程学院,郑州450000

出　　处：《中国图象图形学报》2023年第9期2833-2843,共11页Journal of Image and Graphics

基　　金：国家自然科学基金项目(61671412);宁波市重点研发与揭榜挂帅项目(2022Z076)。

摘　　要：目的色调映射是一种在保持视觉效果基本不变的前提下将高动态范围图像映射到常规低动态显示设备上进行显示的技术。针对现有方法存在细节模糊、边缘光晕及色彩失真等不足,提出一种宏微观信息增强与色彩校正的色调映射新方法。方法将给定的高动态范围图像映射到HSV(hue,saturation,value)颜色空间,分离亮度信息与色彩信息。基于人类视觉感知机制,在亮度通道构建宏观一致性和微观显著性的亮度感知压缩模型,并进一步通过调节模型缩放因子消除边缘光晕现象。基于颜色恒常性原理,在色度通道构建自适应饱和度偏移模型,融合亮度压缩信息调整图像的饱和度信息,解决色调映射所造成的主观色彩失真问题。结果实验结果表明,所提算法在结构保真度、自然度和色调映射质量指数等客观评价方面均优于对比色调映射算法,同时主观平均意见值也取得了最高的4.3分(即好—非常好)。结论宏微观信息增强的亮度感知压缩模型,在确保场景亮度信息不变的情况下,可以有效增强图像纹理细节的完整性和保真性。融合亮度压缩的饱和度偏移模型可以有效解决亮度压缩导致的图像色彩失真等问题。该色调映射算法效率高、通用性强,可广泛应用于图像压缩、生物医学和视频编码等领域。Objective The traditional 8-bit images cannot accurately store and represent the real natural scene because the brightness variations in reality are very wide,ranging from faint starlight to direct sunlight with more than nine orders of magnitude.High dynamic range(HDR)imaging technology adopts floating-point numbers to address this deficiency.This technology can accurately represent the fidelity of a real scene with abundant brightness and chroma information.However,HDR images cannot be rendered directly on conventional display devices.Tone mapping(TM)technology aims to convert HDR images into traditional images while preserving the natural scene without losing information.Many excellent TM operators have emerged and have been widely used in business.However,the scene information is inevitably lost in different degrees because of the large-scale transformation and compression of the brightness range.In particular,even the state-of-art TM operators for complex scenes still have some problems,such as blurred details,edge halation,brightness imbalance,and color distortion,which seriously affect the subjective feeling of human eyes.Hence,a novel TM algorithm is proposed in this study via macro and micro information enhancement and color correction.Method Targeted algorithm structures with different strategies for the brightness and chroma domains are constructed in this study based on the human visual perception mechanism.First,an HDR image is converted from RGB color space to HSV color space,and the independent luminance information and chrominance information can be separated effectively.Thus,the subsequent processing can be performed smoothly without mutual interference.Second,different processing and optimization strategies are adopted for the brightness and chroma channels,respectively.For the former,the brightness range is greatly compressed to meet the demand of low dynamic range images while enhancing the detailed information perceived by human eyes from the macro and micro points of view.In particular,the b

关 键 词：高动态范围图像 色调映射(TM) 宏微观信息增强 显著性图像 色彩校正 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]