[1] Ramponi G. A Cubic Unsharp Masking Technique for Contrast Enhancement [J]. Signal Processing (S0165-1684),1998,67(2):211-222.
[2] Arici T,Altunbasak Y. Image Local Contrast Enhancement Using Adaptive Non-linear Filters [C]//IEEE International Conference on Image Processing (ICIP),Atlanta,GA,Canada,Oct 8-11,2006. Atlanta:IEEE,2006:2881-2884.
[3] Brian Funt,Florian Ciurea. Retinex in Matlab [J]. Journal of Electronic Imaging (S1017-9909),2004,13(1):48-57.
[5] KIMMEL R,ELADM,SHAKED D,et al. A Variational Framework for Retinex [J]. International Journal of Computer Vision(S0920-5691),2003,52(1):7-23.
[6] Rizzi A,Marini D,Rovati L,et al. Unsupervised Corrections of Unknown Chromatic Dominantsusing a Brownain-path-based Retinex Algorithm [J]. Journal of Electronic Imaging(S1017-9909),2003,12(7):431-440.
[7] HUANG Ping,LIU Cheng-yi. Identical Particle Model of Vision Adaptation [J]. ACTA PHOTONICA SINICA,2008,37(6):1221-1224.
[8] YANG Li. Color Constancy Research [D]. Shanghai:Shanghai Life Science Research Center of Chinese Academy of Sciences,2006:3-4.
[9] HUANG Mao-yu,HUANG Yueh-Min,WANG Ming-shi. Contrast Enhancement Based On Human Visual System[C]// Proc. of Taiwan Computer Symposium,Taiwan,Dec 18-19,2003. Taiwan:NCS,2006:2265-2271.
[10] ZENG Ming,ZHANG Jian-xun,WANG Xiang-hu,et al. A Novel Algorithm for Image Enhancement Based on Human Visual Properties and Local Spatial Activity Weighted Processing [J]. Journal of Optoe-lectronics·Laser,2005,16(3):363-367.
[11] Doo Hyun Choi,Ick Hoon Jang,Mi Hye Kim,et al. Color Image Enhancement Based on Single-Scale Retinex with a JND-Based Nonlinear Filter [C]// IEEE International Symposium on Circuits and Systems (ISCAS),May 27-30,2007. NewYork:IEEE,2007:3948-3951.
[12] LI Guo-you,LI Hui-guang,WU Ti-hua,et al. Applications of PCNN and Otsu Theories for Image Enhancement [J]. Journal of Optoe-lectronics·Laser,2005,16(3):358-362.
[13] Castleman Kenncth R. Digital Image Procesing [M]. Beijing:Publishing House of Electronics Industry,2002:462-463.
[14] TSAGARIS V,ANASTASSOPOULOS V. Multispectral Image Fusion for Improved RGB Representation Based on Perceptual Attributes [J]. International Journal of Remote Sensing (S0143-1161),2005,26(15):3241-3254