Combination of histogram segmentation and modification to preserve the original brightness of the images
Author:
Publisher
Pleiades Publishing Ltd
Subject
Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition
Link
http://link.springer.com/content/pdf/10.1134/S1054661817020031.pdf
Reference27 articles.
1. R. C. Gonzalez and R. E. Woods, Digital Image Processing, 2nd ed. (Prentice Hall, New York, 2002).
2. S. D. Chen and A. R. Ramli, “Preserving brightness in histogram equalization based contrast enhancement techniques,” Digital Signal Processing 14, 413–428 (2004).
3. Y. T. Kim, “Contrast enhancement using brightness preserving bi-histogram equalization,” IEEE Trans. Consum. Electron. 43 (1), 1–8 (1997).
4. H. D. Cheng and X. J. Shi, “A simple and effective histogram equalization approach to image enhancement,” Digital Signal Processing 14, 158–170 (2004).
5. S. D. Chen and A. R. Ramli, “Minimum mean brightness error bi-histogram equalization in contrast enhancement,” IEEE Trans. Consumer Electron. 49, 1310–1319 (2003).
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