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Image enhancement based on equal area dualistic sub-image histogram equalization method

Yu Wang, Qian Chen, Baeomin Zhang·1999·IEEE Transactions on Consumer Electronics

Abstract

Histogram equalization is a simple and effective image enhancing technique. But in some conditions, the luminance of an image may be changed significantly after the equalizing process, this is why it has never been utilized in a video system in the past. A novel histogram equalization technique, equal area dualistic sub-image histogram equalization, is put forward in this paper. First, the image is decomposed into two equal area sub-images based on its original probability density function. Then the two sub-images are equalized respectively. Finally, we obtain the results after the processed sub-images are composed into one image. The simulation results indicate that the algorithm can not only enhance the image information effectively but also preserve the original image luminance well enough to make it possible to be used in a video system directly.

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Metadata

Authors
Wang, Y., Chen, Q., & Zhang, B.
Venue
IEEE Transactions on Consumer Electronics
Published
1999-02
Volume
45
Issue
1
Pages
68-75
ISSN
  • 0098-3063 (ISSN-L)
  • 1558-4127
OpenAlex
W2012554041
Cited by
1,165
References
0
FWCI
1.71
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Image enhancement based on equal area dualistic sub-image histogram equalization method. https://app.cochat.ai/papers/10.1109/30.754419
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Wang, Y., Chen, Q., & Zhang, B. (1999). Image enhancement based on equal area dualistic sub-image histogram equalization method. IEEE Transactions on Consumer Electronics. https://doi.org/10.1109/30.754419

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.