Citation: | ZHUO Li, HU Xiaochen, LI Jiafeng, et al., “A Naturalness-Preserved Low-Light Enhancement Algorithm for Intelligent Analysis,” Chinese Journal of Electronics, vol. 28, no. 2, pp. 316-324, 2019, doi: 10.1049/cje.2018.12.004 |
R.C. Gonzalez and P.Wintz, Digital image processing, 3rd ed., (Beijing Publishing House of Electronics Industry, 2002).
|
N. Sengee, A. Sengee and H.K. Choi, “Image contrast enhancement using bi-histogram equalization with neighborhood metrics”, IEEE Transactions on Consumer Electronics, Vol.4, pp.2727-27342010.
|
Y.C. Zeng, “Automatic local contrast enhancement using adaptive histogram adjustment”, IEEE International Conference on Multimedia & Expo, pp.1318-1321, 2009.
|
C. M. Wu, “Studies on mathematical model of histogram equalization”, Acta Electronica Sinica, 2013, Vol.41, pp.598-602. (in Chinese)
|
C. Ding, L. Dong, X. Weihua, “Image details Enhancement by gradient field bi-interval equalization”, Acta Electronica Sinica, vol.45, pp.1165-1174, 2017. (in Chinese)
|
D.J. Jobson, Z.U. Rahman and G.A. Woodell, “Properties and performance of a center/surround retinex”, IEEE Transactions on Image Processing, Vol. 3, pp.451-462, 1997.
|
D.J. Jobson, Z.U. Rahman and G.A. Woodell, “A multiscale retinex for bridging the gap between color images and the human observation of scenes”, IEEE Transactions on Image Processing, Vol.7, pp.965-976, 1997.
|
X. Fu, Y. Sun, M. Liwang and Y. Huang, “A novel retinex based approach for image enhancement with illumination adjustment”, IEEE International Conference on Acoustics, Speech & Signal Processing, pp. 1190-1194, 2014.
|
C.H. Lee, J.L. Shih, C.C. Lien and C.C. Han, “Adaptive multiscale retinex for image contrast enhancement”, International Conference on Signal-image Technology & Internetbased Systems, pp.43-50, 2013.
|
K. Kawasaki and A. Taguchi, “A multiscale retinex with low computational cost”, International Symposium on Communications & Information Technologies, pp.787-790, 2013.
|
A.B. Petro, C. Sbert and J.M. Morel, “Multiscale Retinex”, Image Processing on Line, Vol.4, pp.71-88, 2014.
|
G. Y. Zhang, et al. “A new PSLIP model and its application in edge detection and image enhancement”, Acta Electronica Sinica, Vol.43, pp.377-382, 2015.
|
R.K. Jha, R. Chouhan, “Dark and low-contrast image enhancement using dynamic stochastic resonance in discrete cosine transform domain”, Apsipa Transactions on Signal & Information Processing, vol.2, pp.1-8, 2013.
|
N. Gupta and R Jha, “Enhancement of high dynamic range dark images using internal noise in DWT domain”, Intelligent Interactive Technologies and Multimedia, Vol. 276 of the series Communications in Computer and Information Science, pp.66-74, 2013.
|
K. He, J. Sun and X. Tang, “Single image haze removal using dark channel prior”, IEEE Transactions on Pattern Analysis & Machine Intelligence, Vol.12, pp.2341-2353, 2011.
|
X. Dong, G. Wang, Y. Pang, W. Li, J. Wen, W. Meng and et al., “Fast efficient algorithm for enhancement of low lighting video”, IEEE International Conference on Multimedia & Expo, pp.1-6, 2011.
|
X. Jiang, H. Yao, et al. “Night video enhancement using improved dark channel prior”, IEEE International Conference on Image Processing, pp.553-557, 2013.
|
H. Pan, “One rapid location method of vehicle license plate based on RGB color space”, Guide of SciTech Magazine, Vol. 35, pp. 56-57, 2010.
|
A. Hajraoui and M. Sabri, “Face detection algorithm based on skin detection, watershed method and gabor filters”, International Journal of Computer Applications, Vol.6, pp.33-39, 2014.
|
S. Wang, J. Zheng, H.M. Hu, B. Li, “Naturalness preserved enhancement algorithm for non-uniform illumination images”, IEEE Transactions on Image Processing, Vol.22, pp.3538-3548, 2013.
|