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Adaptive image contrast enhancement using generalizations of histogram equalization
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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Cited by
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Cai, B., Xu, X., Jia, K., Qing, C., & Tao, D. (2016) · IEEE Transactions on Image Processing · doi:10.1109/tip.2016.2598681 · Cited by 3,367
Reversible data hiding: Advances in the past two decades
Shi, Y.-Q., Li, X., Zhang, X., Wu, H.-T., & Ma, B. (2016) · IEEE Access · doi:10.1109/access.2016.2573308 · Cited by 594
Wang, T., Zhang, K., Zhang, Y., Luo, W., Stenger, B., Lu, T., Kim, T.-K., & Liu, W. (2025) · Pattern Recognition · doi:10.1016/j.patcog.2025.111628 · Cited by 150
Suresh, S., & Lal, S. (2017) · Applied Soft Computing · doi:10.1016/j.asoc.2017.08.019 · Cited by 73
A critical analysis on perceptual contrast and its use in visual information analysis and processing
Beghdadi, A., Qureshi, M. A., Amirshahi, S. A., Chetouani, A., & Pedersen, M. (2020) · IEEE Access · doi:10.1109/access.2020.3019350 · Cited by 31
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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