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Adaptive image contrast enhancement using generalizations of histogram equalization

Stark, J.A.·2000·IEEE Transactions on Image Processing

Abstract

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.

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Metadata

Authors
Stark, J. A.
Venue
IEEE Transactions on Image Processing
Published
2000-05
Volume
9
Issue
5
Pages
889-896
ISSN
1057-7149 (ISSN-L)
OpenAlex
W2128926607
Cited by
1,189
References
0
FWCI
3.51
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Adaptive image contrast enhancement using generalizations of histogram equalization. https://app.cochat.ai/papers/10.1109/83.841534
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Stark, J. A. (2000). Adaptive image contrast enhancement using generalizations of histogram equalization. IEEE Transactions on Image Processing. https://doi.org/10.1109/83.841534

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