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A Dynamic Histogram Equalization for Image Contrast Enhancement

Abdullah-Al-Wadud, M., Kabir, Md., Akber Dewan, M., Chae, Oksam·2007·IEEE Transactions on Consumer Electronics

Abstract

In this paper, a smart contrast enhancement technique based on conventional histogram equalization (HE) algorithm is proposed. This dynamic histogram equalization (DHE) technique takes control over the effect of traditional HE so that it performs the enhancement of an image without making any loss of details in it. DHE partitions the image histogram based on local minima and assigns specific gray level ranges for each partition before equalizing them separately. These partitions further go though a repartitioning test to ensure the absence of any dominating portions. This method outperforms other present approaches by enhancing the contrast well without introducing severe side effects, such as washed out appearance, checkerboard effects etc., or undesirable artifacts.

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Metadata

Authors
Abdullah-Al-Wadud, M., Kabir, M., Akber Dewan, M., & Chae, O.
Venue
IEEE Transactions on Consumer Electronics
Published
2007
Volume
53
Issue
2
Pages
593-600
ISSN
0098-3063 (ISSN-L)
OpenAlex
W2116973876
Cited by
1,346
References
0
FWCI
13.53
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Dynamic Histogram Equalization for Image Contrast Enhancement. https://app.cochat.ai/papers/10.1109/tce.2007.381734
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Abdullah-Al-Wadud, M., Kabir, M., Akber Dewan, M., & Chae, O. (2007). A Dynamic Histogram Equalization for Image Contrast Enhancement. IEEE Transactions on Consumer Electronics. https://doi.org/10.1109/tce.2007.381734

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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.