RAM-BASED TONE MAPPING FOR HIGH DYNAMIC RANGE IMAGES

被引：0
|
作者：
Shen, Jianbing [1 ,2 ]
Sun, Hanqiu [3 ]
Zhao, Hanli [2 ]
Jin, Xiaogang [2 ]
机构：
[1] Beijing Inst Technol, Sch Comp Sci & Technol, Beijing 100081, Peoples R China
[2] Zhejiang Univ, State Key Lab CAD & CG, Hangzhou 310027, Peoples R China
[3] Chinese Univ Hong Kong, Dept Comp Sci & Engn, Hong Kong, Peoples R China
来源：
ICME: 2009 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOLS 1-3 | 2009年
基金：
中国国家自然科学基金;
关键词：
Retinal adaption model; High dynamic range images; Tone mapping; ADAPTATION;
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
In this paper we present a novel tone mapping algorithm for high dynamic range (HDR) images using the retinal adaptation model (RAM). The physiological evidence suggests that the RAM is obtained by measuring intensity-response functions to flashes of light presented under varying adaptation conditions, which leads to a theoretic-sound model that can be flexibly adapted for tone reproduction. The multiplicative-subtractive process of the model can provide high quality tone mapping results for rendering the HDR images. The experimental results demonstrate that our RAM-based tone mapping approach is effective to produce pleasing results on HDR images in a wide range of real-world scenarios.
引用
收藏
页码：1110 / +
页数：2
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