Quadri-histogram equalization using cutoff limits based on the size of each histogram with preservation of average brightness-Reference-Cited by-同舟云学术

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Quadri-histogram equalization using cutoff limits based on the size of each histogram with preservation of average brightness

Published:2019-01-28 Issue:5 Volume:13 Page:843-851
ISSN:1863-1703
Container-title:Signal, Image and Video Processing
language:en
Short-container-title:SIViP

Author:

Brizuela Pineda Isidro Augusto,Medina Caballero Rubén Darío,Cáceres Silva Juan José,Mello Román Julio César,Vázquez Noguera José Luis

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Signal Processing

Link

http://link.springer.com/article/10.1007/s11760-019-01420-9/fulltext.html

Reference20 articles.

1. Wang, Q., Ward, R.K.: Fast image/video contrast enhancement based on weighted thresholded histogram equalization. IEEE Trans. Consum. Electron. 53(2), 757–764 (2007)

2. Abdullah-Al-Wadud, M., Kabir, M.H., Akber Dewan, M.A., Chae, O.: A dynamic histogram equalization for image contrast enhancement. IEEE Trans. Consum. Electron. 53(2), 593–600 (2007)

3. Ooi, C.H., Kong, N.S.P., Ibrahim, H., Juinn Chieh, D.C.: Enhancement of color microscopic images using Toboggan method. In: Proceedings of International Conference on Future Computer and Communications, pp. 203–205 (2009)

4. Kim, Y.T.: Contrast enhancement using brightness preserving bi-histogram equalization. IEEE Trans. Consum. Electron. 43(1), 1–8 (1997)

5. Ooi, C.H., Kong, N.S.P., Ibrahim, H.: Bi-histogram equalization with a plateau limit for digital image processing. IEEE Trans. Consum. Electron. 55(4), 2072–2080 (2009)

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