Adaptive image contrast enhancement using generalizations of histogram equalization

被引:831
作者
Stark, JA [1 ]
机构
[1] NISS, Res Triangle Pk, NC USA
[2] Univ Cambridge, Dept Engn, Signal Proc Grp, Cambridge CB2 1PZ, England
关键词
adaptive histogram equalization; contrast enhancement; histogram equalization; image enhancement;
D O I
10.1109/83.841534
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper proposes a scheme for adaptive image contrast enhancement based on a generalization of histogram equalization (HE). HE is a useful technique for improving image contrast, but its effect is too severe for many purposes. However, dramatically different results can be obtained with relatively minor modifications. A concise description of adaptive HE is set out, and this framework is used in a discussion of past suggestions for variations on HE, A key feature of this formalism is a "cumulation function," which is used to generate a grey level mapping from the Local histogram, By choosing alternative forms of cumulation function one can achieve a wide variety of effects. A specific form is proposed. Through the variation of one or two parameters, the resulting process can produce a range of degrees of contrast enhancement, at one extreme leaving the image unchanged, at another yielding full adaptive equalization.
引用
收藏
页码:889 / 896
页数:8
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