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Recursively separated and weighted histogram equalization for brightness preservation and contrast enhancement
Abstract
This paper proposes a new histogram equalization method, called RSWHE (recursively separated and weighted histogram equalization), for brightness preservation and image contrast enhancement. The essential idea of RSWHE is to segment an input histogram into two or more sub-histograms recursively, to modify the sub-histograms by means of a weighting process based on a normalized power law function, and to perform histogram equalization on the weighted sub-histograms independently. RSIHE (recursive sub-image histogram equalization) and RMSHE (recursive mean separate histogram equalization) are some methods similar to RSWHE, but they do not carry out the above weighting process. We show that compared to other existent methods, RSWHE preserves the image brightness more accurately and produces images with better contrast enhancement.
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Cited by
Efficient Contrast Enhancement Using Adaptive Gamma Correction With Weighting Distribution
Huang, S.-C., Cheng, F.-C., & Chiu, Y.-S. (2013) · IEEE Transactions on Image Processing · doi:10.1109/tip.2012.2226047 · Cited by 1,233
Image Contrast and Color Enhancement Using Adaptive Gamma Correction and Histogram Equalization
Veluchamy, M., & Subramani, B. (2019) · Optik · doi:10.1016/j.ijleo.2019.02.054 · Cited by 169
Metadata
- Authors
- Kim, M., & Chung, M.
- Venue
- IEEE Transactions on Consumer Electronics
- Published
- 2008-08
- Volume
- 54
- Issue
- 3
- Pages
- 1389-1397
- ISSN
- 0098-3063 (ISSN-L)
- OpenAlex
- W2126621890
- Cited by
- 352
- References
- 0
- FWCI
- 9.55
- Type
- journal article
- Language
- en
- Open access
- closed
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- Kim, M., & Chung, M. (2008). Recursively separated and weighted histogram equalization for brightness preservation and contrast enhancement. IEEE Transactions on Consumer Electronics. https://doi.org/10.1109/tce.2008.4637632
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