Tone-mapping high dynamic range images by novel histogram adjustment

被引：89

作者：

Duan, Jiang ^{[1
]}

Bressan, Marco ^{[2
]}

Dance, Chris ^{[3
,4
]}

Qiu, Guoping ^{[5
]}

机构：

[1] SW Univ Finance & Econ, Sch Econ Informat Engn, Dept Comp Sci, Chengdu, Sichuan, Peoples R China

[2] Xerox Res Ctr Europe, Textual & Visual Pattern Anal Grp, Grenoble, France

[3] Xerox Res Ctr Europe, Res Lab, Grenoble, France

[4] Xerox Res Ctr Europe, Data Min Grp, Grenoble, France

[5] Univ Nottingham, Nottingham NG7 2RD, England

来源：

PATTERN RECOGNITION | 2010年 / 43卷 / 05期

基金：

中国国家自然科学基金;

关键词：

Tone mapping; Tone reproduction; Adaptation; High dynamic range; Adaptive; Bilateral; Histogram; REPRODUCTION; DISPLAY;

D O I：

10.1016/j.patcog.2009.12.006

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we present novel histogram adjustment methods for displaying high dynamic range image We first present a global histogram adjustment based tone mapping operator, which well reproduces global contrast for high dynamic range images. We then segment images and carry out adaptive contrast adjustment using our global tone mapping operator in the local regions to reproduce local contrast and ensure better quality We demonstrate that our methods are fast, easy to use and a fixed set of parameter values produce good results for a wide variety of images. (C) 2009 Elsevier Ltd All rights reserved

引用

页码：1847 / 1862

页数：16

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