［1］ 李权合, 毕笃彦, 何林远. 退化过程模拟模型及其在图像增强中的应用［J］. 西安电子科技大学学报, 2011, 38(6): 185-192. Li Quanhe, Bi Duyan, He Linyuan. Degradation Process Simulation Model and Its Use in Image Enhancement ［J］. Journal of Xidian University, 2011, 38(6): 185-192. ［2］ Jourlin M, Pinoli J. A Model for Logarithmic Image Processing ［J］. Journal of Microscopy, 1988, 149(1): 21-35. ［3］ Lee J S. Digital Image Enhancement and Noise Filtering by Use of Local Statistics ［J］. IEEE Transactionss on Pattern Analysis and Machine Intelligence, 1980, 2(2): 165-168. ［4］ Deng G. An Entropy Interpretation of the Logarithmic Image Processing Model with Application to Contrast Enhancement ［J］. IEEE Transactions on Image Processing, 2009, 18(5): 1135-1140. ［5］ Deng G. A Generalized Logarithmic Image Processing Model Based on the Giga-vision Sensor Model ［J］. IEEE Transactions on Image Processing, 2012, 21(3): 1406-1414. ［6］ Panetta K, Wharton E, Agaian S. Parameterization of Logarithmic Image Processing Models ［EB/OL］. ［2013-04-20］. http://citeseerx.ist.psu.edu/viewdoc/dowload?doi=10.1.1.152.4779&rep=rep1&type=pdf. ［7］ Panetta K A, Agaian S S, Zhou Y, et al. Parameterized Logarithmic Framework for Image Enhancement ［J］. IEEE Transactions on System, Man, and Cybernetics B, 2011, 41(2): 460-473. ［8］ Wharton E J, Panetta K, Agaian S S. Logarithmic Edge Detection with Applications ［C］//IEEE International Conference on Systems, Man, and Cybernetics. New York: IEEE, 2007: 3346-3351. ［9］ Nercessian S, Panetta K, Agaian S. Multiresolution Decomposition Schemes Using the Parameterized Logarithmic Image Processing Model with Application to Image Fusion ［DB/OL］. ［2012-12-20］. http://dl.acm.org/citation.cfm?id=1945447. ［10］ Vorobel R, Botsian V. Parameterization Method for Logarithmic Image Processing Model ［C］//Modern Problems of Radio Engineering Telecommunications and Computer Science. Piscataway: IEEE Computer Society, 2012: 408. ［11］ Patrascu V. Rough Sets on Four-Valued Fuzzy Approximation Space ［C］//IEEE International Conference on Fuzzy Systems. Piscataway: IEEE, 2007: 217-221. ［12］ Vertan C, Oprea A, Florea C, et al. A Pseudo-logarithmic Image Processing Framework for Edge Detection ［C］//Advanced Concepts for Intelligent Vision Systems. Heidelberg: Springer Verlag, 2008: 637-644. ［13］ Florea C, Vertan C. Piecewise Linear Approximation of Logarithmic Image Processing Models for Dynamic Range Enhancement ［J］. UPB Scientific Bulletin, Series C: Electrical Engineering, 2009, 71(2): 3-14. ［14］ Navarro L, Courbebaisse G. Symmetric Logarithmic Image Processing Model, Application to Laplacian Edge Detection ［DB/OL］. ［2012-06-10］. http://hal-emse.ccsd.cnrs.fr/hal-00709350/. ［15］ Yu Tianhe, Li Qiuming, Dai Jingmin. New Enhancement of Infrared Image Based on Human Visual System ［J］. China Optical Letters, 2009, 7(1): 206-209. ［16］ 崔力, 陈玉坤, 韩宇. 视觉相似性图像质量评价方法［J］. 西安电子科技大学学报, 2012, 39(4): 155-160. Cui Li, Chen Yukun, Han Yu. Visual Similarity Index for Image Quality Assessment ［J］. Journal of Xidian University, 2012, 39(4): 155-160. ［17］ Panetta K, Wharton E J, Agaian S S. Human Visual System-Based Image Enhancement and Logarithmic Contrast Measure ［J］. IEEE Transactions on Systems, Man, and Cybernetics—Part B: Cybernetics, 2008, 38(1): 174-188. ［18］ Wharton E, Panetta K, Agaian S. Human Visual System Based Similarity Metrics ［C］//Proceedings of IEEE International Conference on Systems, Man and Cybernetics. New York: IEEE, 2008: 685-690.