Implementing real-time RCF-Retinex image enhancement method using CUDA-Reference-Cited by-同舟云学术

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Implementing real-time RCF-Retinex image enhancement method using CUDA

Published:2018-07-25 Issue:1 Volume:16 Page:115-125
ISSN:1861-8200
Container-title:Journal of Real-Time Image Processing
language:en
Short-container-title:J Real-Time Image Proc

Author:

Yang Xiaomin,Jian Lihua,Wu Wei,Liu Kai,Yan Binyu,Zhou Zhili,Peng Jian

Funder

National Natural Science Foundation of China

Priority Academic Program Development of Jiangsu Higer Education Institutions (PAPD) Fund

Publisher

Springer Science and Business Media LLC

Subject

Information Systems

Link

http://link.springer.com/article/10.1007/s11554-018-0803-y/fulltext.html

Reference16 articles.

1. Ahn, H., Keum, B., Kim, D., Lee, H.S.: Adaptive local tone mapping based on retinex for high dynamic range images. IEEE Int. Conf. Consum. Electron. (2013). https://doi.org/10.1109/ICCE.2013.6486837

2. Alspach, D.L., Sorenson, H.W.: Nonlinear Bayesian estimation using gaussian sum approximations. IEEE Trans. Autom. Control 17(4), 439–448 (1972)

3. Choudhury, A., Medioni, G.: Perceptually motivated automatic color contrast enhancement. In: ICCV 2009—CRICV workshop 7525(1), 1893–1900 (2009)

4. Fuyu Tao, X.Y.: Retinex-based image enhancement framework by using region covariance filter. Soft Comput. (2017). https://doi.org/10.1007/s00500-017-2813-2

5. Gembris, D., Neeb, M., Gipp, M., Kugel, A.: Correlation analysis on GPU systems using Nvidia’s CUDA. J. Real-Time Image Proc. 6(4), 275–280 (2011)

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