DYNAMIC RANGE COMPRESSION BASED ON STATISTICAL ANALYSIS

被引：4

作者：

Lee, Keun-dong ^{[1
]}

Kim, Sujung ^{[2
]}

Kim, Seong-Dae ^{[2
]}

机构：

[1] Elect & Telecommun Res Inst, Taejon, South Korea

[2] Korea Adv Inst Sci & Technol, Sch EECS, Div EE, Daejeon, South Korea

来源：

2009 16TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-6 | 2009年

关键词：

Image enhancement; local contrast; dynamic range compression; enhancement condition;

D O I：

10.1109/ICIP.2009.5414419

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 propose a computationally efficient space-varying dynamic range compression method based on statistical analysis. The proposed method reveals fine details without affecting already well-balanced region. For this goal, we introduce an effective segmentation method for distinguishing a damaged region from a well-balanced region. The statistical analysis and indirect use of the characteristics in segmented regions are introduced. In addition, to automate the full chain of dynamic range compression, we propose an enhancement condition which determines whether a certain image needs to be processed or not.

引用

页码：3157 / +

页数：2

共 7 条

[1]

CHESNOKOV V, 2002, Patent No. 02089060

[2]

Durand F, 2002, ACM T GRAPHIC, V21, P257, DOI 10.1145/566570.566574

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