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The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

Efficient Contrast Enhancement Using Adaptive Gamma Correction With Weighting Distribution

Huang, Shih-Chia, Cheng, Fan-Chieh, Chiu, Yi-Sheng·2013·IEEE Transactions on Image Processing

Abstract

This paper proposes an efficient method to modify histograms and enhance contrast in digital images. Enhancement plays a significant role in digital image processing, computer vision, and pattern recognition. We present an automatic transformation technique that improves the brightness of dimmed images via the gamma correction and probability distribution of luminance pixels. To enhance video, the proposed image-enhancement method uses temporal information regarding the differences between each frame to reduce computational complexity. Experimental results demonstrate that the proposed method produces enhanced images of comparable or higher quality than those produced using previous state-of-the-art methods.

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Crossref · 10.1109/tip.2012.2226047

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Metadata

Authors
Huang, S.-C., Cheng, F.-C., & Chiu, Y.-S.
Venue
IEEE Transactions on Image Processing
Published
2013-03
Volume
22
Issue
3
Pages
1032-1041
ISSN
  • 1057-7149 (ISSN-L)
  • 1941-0042
OpenAlex
W2016622085
Cited by
1,233
References
13
FWCI
28.52
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Efficient Contrast Enhancement Using Adaptive Gamma Correction With Weighting Distribution. https://app.cochat.ai/papers/10.1109/tip.2012.2226047
The paper
Huang, S.-C., Cheng, F.-C., & Chiu, Y.-S. (2013). Efficient Contrast Enhancement Using Adaptive Gamma Correction With Weighting Distribution. IEEE Transactions on Image Processing. https://doi.org/10.1109/tip.2012.2226047

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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.