A brightness-preserving two-dimensional histogram equalization method based on two-level segmentation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-020-09265-y.pdf
Reference32 articles.
1. Abdullah-Al-Wadud M, Kabir MH, Dewan MAA et al (2003) A dynamic histogram equalization for image contrast enhancement. IEEE Trans Consum Electron 53(2):593–600. https://doi.org/10.1109/tce.2007.381734
2. Arriagagarcia EF, Sanchezyanez RE, Ruizpinales J et al (2015) Adaptive sigmoid function bi-histogram equalization for image contrast enhancement. J Electron Imaging 24(5):053009. https://doi.org/10.1117/1.jei.24.5.053009
3. Berkerley Database https://www2.eecs.berkeley.edu/Research/Projects/CS/vision/bsds/. Accessed 15 May 2020
4. Chen SD, Ramli AR (2003) Contrast enhancement using recursive mean-separate histogram equalization for scalable brightness preservation. IEEE Trans Consum Electron 49(4):1301–1309. https://doi.org/10.1109/TCE.2003.1261233
5. Chen SD, Ramli AR (2003) Minimum mean brightness error bi-histogram equalization in contrast enhancement. IEEE Trans Consum Electron 49(4):1310–1319. https://doi.org/10.1109/TCE.2003.1261234
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