MODEL-BASED ADAPTIVE HISTOGRAM EQUALIZATION

被引：9

作者：

STARK, JA

FITZGERALD, WJ

机构：

[1] Signal Processing and Communications Laboratory, Department of Engineering, University of Cambridge, Cambridge, CB2 IPZ, Trumpington Street

来源：

SIGNAL PROCESSING | 1994年 / 39卷 / 1-2期

关键词：

DIGITAL IMAGE ENHANCEMENT; ADAPTIVE HISTOGRAM EQUALIZATION; MODEL-BASED IMAGE PROCESSING; CONTRAST ENHANCEMENT;

D O I：

10.1016/0165-1684(94)90133-3

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Adaptive histogram equilization techniques have been used successfully in a variety of applications for improving local contrast in images. In this paper we take a model-based approach to the analysis of histogram equalization algorithms. On this basis statistical properties can be derived and used to find objective and optimal filters. We also present a fast approximate algorithm which generalizes to a wider class of grey-level mappings that are functions of local statistics.

引用

页码：193 / 200

页数：8

共 6 条

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[2]

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[3]

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[6]

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