Color Image Enhancement Method with Variable Emphasis Degree
Author:
Affiliation:
1. Tokyo City University
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing
Link
https://www.jstage.jst.go.jp/article/transfun/E101.A/4/E101.A_713/_pdf
Reference24 articles.
1. [1] R. Gonzalez and R. Woods, Digital Image Processing, 3rd ed., Prentice-Hall, Englewood Cliffs, NJ, USA, 2007.
2. [2] Y.T. Kim, “Contrast enhancement using brightness preserving bi-histogram equalization,” IEEE Trans. Consumer Electron., vol.43, no.1, pp.1-8, Feb. 1997. 10.1109/30.580378
3. [3] Y. Wan, Q. Chen, and B.-M. Zhang, “Image enhancement based on equal area dualistic sub-image histogram equalization method,” IEEE Trans. Consummer Electron., vol.45, no.1, pp.68-75, Feb. 1999. 10.1109/30.754419
4. [4] S.-D. Chen and A.R. Ramli, “Minimum mean brightness error bi-histogram equalization in contrast enhancement,” IEEE Trans. Consumer Electron., vol.49, no.4, pp.1310-1319, Nov. 2003. 10.1109/tce.2003.1261234
5. [5] M. Abdullah-Al-Wadud, Md. Hasanul Kabir, M. Ali Akber Dewan, and O. Chae, “A dynamic histogram equalization for image contrast enhancement,” IEEE Trans. Consumer Electron., vol.53, no.2, pp.593-600, May 2007. 10.1109/tce.2007.381734
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