摘要
图像传感器动态响应范围的局限使其在捕捉高动态范围场景时力不从心,为了捕捉高动态范围图像(High dynamic range image,HDRI),近年来出现了许多新型传感器和新方法,本文将简要介绍这些研究进展;同样由于动态响应范围的局限,显示设备也不能胜任HDRI的显示,必须利用色阶映射算子(Tone mapping operator,TMO)将图像的动态范围进行合理的压缩,TMO最终决定了图像显示的质量,本文将众多的TMO归纳为全局算子和局部算子并进行了详细论述.
The existing digital image capture device is not competent for the task of recording the vast-varying luminance range in the real world. In this paper, we first introduced the developments of high dynamic range image (HDRI) capture technology and the HDRI encoding format. To display such an HDRI in the traditional display device (CRT, LCD or printer), the dynamic range mismatch between image and display must be overcome by a tone mapping operator (TMO). An ideal TMO must keep a consistent perceptual experience between the displayed image and the real world scene. In recent years, many TMOs have been proposed, we summarized them into two types (global and local) and gave a detailed explanation.
出处
《自动化学报》
EI
CSCD
北大核心
2009年第2期113-122,共10页
Acta Automatica Sinica
基金
国家自然科学基金(60572056,60874010,60334020,60621001)
中国科学院海外杰出学者基金资助~~
关键词
高动态范围图像
色阶映射算子
人类视觉系统
High dynamic range image (HDRI), tone mapping operator (TMO), human visual system (HVS)