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Cited by 531

The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

Contextual and Variational Contrast Enhancement

Celik, T., Tjahjadi, T.·2011·IEEE Transactions on Image Processing

Abstract

This paper proposes an algorithm that enhances the contrast of an input image using interpixel contextual information. The algorithm uses a 2-D histogram of the input image constructed using a mutual relationship between each pixel and its neighboring pixels. A smooth 2-D target histogram is obtained by minimizing the sum of Frobenius norms of the differences from the input histogram and the uniformly distributed histogram. The enhancement is achieved by mapping the diagonal elements of the input histogram to the diagonal elements of the target histogram. Experimental results show that the algorithm produces better or comparable enhanced images than four state-of-the-art algorithms.

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Crossref · 10.1109/tip.2011.2157513

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Metadata

Authors
Celik, T., & Tjahjadi, T.
Venue
IEEE Transactions on Image Processing
Published
2011-12
Volume
20
Issue
12
Pages
3431-3441
ISSN
  • 1057-7149 (ISSN-L)
  • 1941-0042
OpenAlex
W2011260964
Cited by
531
References
17
FWCI
11.73
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Contextual and Variational Contrast Enhancement. https://app.cochat.ai/papers/10.1109/tip.2011.2157513
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Celik, T., & Tjahjadi, T. (2011). Contextual and Variational Contrast Enhancement. IEEE Transactions on Image Processing. https://doi.org/10.1109/tip.2011.2157513

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.