[1] 谢攀, 张利, 康宗明, 谢时根. 一种基于尺度变化的DCT自动聚焦算法. 清华大学学报(自然科学版), 2003, 43(1): 55−58 doi: 10.3321/j.issn:1000-0054.2003.01.017

Xie Pan, Zhang Li, Kang Zong-Ming, Xie Shi-Gen. Window scale-based automatic focus algorithm using DCT transformation. Journal of Tsinghua University (Science and Technology), 2003, 43(1): 55−58 doi: 10.3321/j.issn:1000-0054.2003.01.017
[2] 康宗明, 张利, 谢攀. 一种基于能量和熵的自动聚焦算法. 电子学报, 2003, 31(4): 552−555 doi: 10.3321/j.issn:0372-2112.2003.04.020

Kang Zong-Ming, Zhang Li, Xie Pan. Implementation of an automatic focusing algorithm based on spatial high frequency energy and entropy. Acta Electronica Sinica, 2003, 31(4): 552−555 doi: 10.3321/j.issn:0372-2112.2003.04.020
[3] 贾旭, 曹玉东, 孙福明, 崔建江, 薛定宇. 基于无参考质量评价模型的静脉图像采集方法. 电子学报, 2015, 43(2): 236−241 doi: 10.3969/j.issn.0372-2112.2015.02.005

Jia Xu, Cao Yu-Dong, Sun Fu-Ming, Cui Jian-Jiang, Xue Ding-Yu. Vein image acquisition method based on quality assessment model without reference. Acta Electronica Sinica, 2015, 43(2): 236−241 doi: 10.3969/j.issn.0372-2112.2015.02.005
[4] Firestone L, Cook K, Culp K, Talsania N, Preston K. Comparison of autofocus methods for automated microscopy. Cytometry, 1991, 12(3): 195−206 doi: 10.1002/cyto.990120302
[5] Choi K S, Lee J S, Ko S J. New autofocusing technique using the frequency selective weighted median filter for video cameras. IEEE Transactions on Consumer Electronics, 1999, 45(3): 820−827 doi: 10.1109/30.793616
[6] Tenenbaum J M. Accummodation in Computer Vision, [Ph. D. dissertation], Stanford University, USA, 1970
[7] Zhan Y B, Zhang R. No-Reference image sharpness assessment based on maximum gradient and variability of Gradients. IEEE Transactions on Multimedia, 2018, 20(7): 1796−1808
[8] Jarvis R A. Focus optimization criteria for computer image processing. Microscope, 1976, 24(2): 163−180
[9] Nayar S K, Nakagawa Y. Shape from focus system. IEEE Tansactions Pattern Analysis and Machine Intelligence, 1994, 16(8): 824−831 doi: 10.1109/34.308479
[10] 李郁峰, 陈念年, 张佳成. 一种快速高灵敏度聚焦评价函数. 计算机应用研究, 2010, 27(4): 1534−1536

Li Yu-Feng, Chen Nian-Nian, Zhang Jia-Cheng. Fast and high sensitivity focusing evaluation function. Application Research of Computers, 2010, 27(4): 1534−1536
[11] Li Y J, Di X G. A no-reference infrared image sharpness assessment based on singular value decomposition. In: Proceedings of the 2016 Visual Communication and Image Processing. Chengdu China: IEEE, 2016. 1−4
[12] Baina J, Dublet J. Automatic focus and iris control for video cameras. In Proceedings of the Fifth International Conference Image Processing and its Applications. Edinburgh, UK: IEEE, 1995, 232−235
[13] 菅维乐, 姜威, 周贤. 一种基于小波变换的数字图像自动聚焦算法. 山东大学学报: 工学版, 2004, 34(6): 38−40

Jian Wei-Le, Jiang Wei, Zhou Xian. Auto-focusing algorithms of aigital image based on wavelet transform. Journal of Shandong University (Engineering Science), 2004, 34(6): 38−40
[14] Vu P V, Chandler D M. A fast wavelet-based algorithm for global and local image sharpness estimation. IEEE Signal Processing Letters. 2012, 19(7): 423−426
[15] 王义文, 刘献礼, 谢晖. 基于小波变换的显微图像清晰度评价函数及3-D自动调焦技术. 光学精密工程, 2006, 14(6): 1063−1069 doi: 10.3321/j.issn:1004-924X.2006.06.023

Wang Yi-Wen, Liu Xian-Li, Xie Hui. A wavelet-based focus measure and 3-D autofocusing for microscope images. Optics and Precision Engineering, 2006, 14(6): 1063−1069 doi: 10.3321/j.issn:1004-924X.2006.06.023
[16] Fan Z G, Chen S Q. Autofocus algorithm based on wavelet packet transform for infrared microscopy. In: Proceedings of the 3rd International Congress on Image and Signal Processing, Yantai, China: IEEE, 2010. 2510−2514
[17] Zhang Z, Liu Y, Tan H. No-reference image sharpness assessment using scale and directional models. In: Proceedings of the 2018 IEEE International Conference on Multimedia & Expo. San Diego, CA, USA: IEEE, 2018. 1−6
[18] Weijer J V D, Gevers T, Bagdanov A D. Boosting color saliency in image feature detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005, 28(1): 150−156
[19] Chen Y, Li D, Zhang J Q. Complementary color wavelet: A novel tool for the color image/video analysis and processing. IEEE Transactions on Circuits and Systems for Video Technology, 2017, 29(1): 12−27
[20] MacAdam D L. Photometric relationships between complementary colors. Journal of the Optical Society of America, 1938, 28(4): 103−111 doi: 10.1364/JOSA.28.000103
[21] Pridmore R W. Complementary colors theory of color vision: Physiology, color mixture, color constancy and color perception. Color Research & Application, 2011, 36(6): 394−412
[22] Selesnick I W, Baraniuk R G, Kingsbury N C. The dual-tree complex wavelet transform. IEEE Signal Processing Magazine, 2005, 22(6): 123−151 doi: 10.1109/MSP.2005.1550194
[23] Born M, Wolf E, Principles of optics. London: Pergamon, 1965.
[24] Pentland P A. A new sense for depth of field. pattern analysis and machine intelligence. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1987, 9(4): 523−531
[25] 陈扬, 李旦, 张建秋. 互补色小波域图像质量盲评价方法. 电子学报, 2019, 47(4): 775−783 doi: 10.3969/j.issn.0372-2112.2019.04.002

Chen Yang, Li Dan, Zhang Jian-Qiu. Blind image quality assessment with complementary color wavelet transform. Acta Electronica Sinica, 2019, 47(4): 775−783 doi: 10.3969/j.issn.0372-2112.2019.04.002
[26] 陈扬, 张建秋. 互补色小波域自然场景统计显著图模型. 微电子学与计算机, 2019, 36(3): 17−22, 27

Chen Yang, Zhang Jian-Qiu. A naturel scene statistical saliency map model in complementary color wavelet domain. Microelectronics & Computer, 2019, 36(3): 17−22, 27
[27] Ninassi A, Autrusseau F, Callet P L. Pseudo no reference image quality metric using perceptual data hiding. In: Proceedings of the International Society for Optical and Engineering. California, USA: SPIE, 2006.
[28] Timofte R, Agustsson E, Gool L V. NTIRE 2017 challenge on single image super-resolution: methods and results. In: Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). Honolulu, HI, USA: IEEE, 2017. 1110−1121
[29] 苑津莎, 张冬雪, 李中. 基于改进阈值法的小波去噪算法研究. 华北电力大学学报, 2010, 37(5): 92−97

Yuan Jin-Sha, Zhang Dong-Xue, Li Zhong. Wavelet denosing algorithm based on improved thresholding method. Joumal of North China Electric Power University, 2010, 37(5): 92−97
[30] Sendur L, Selesnick I W. Bivariate shrinkage functions for wavelet-based denoising exploiting interscale dependency. IEEE Transactions on Signal Processing, 2002, 50(11): 2744−2756 doi: 10.1109/TSP.2002.804091
[31] Sheikh H R, Wang Z, Cormack L, et al. LIVE image quality assessment database release 2(2005)[Online], available: http://live.ece.utexas.edu/research/quality/, September1, 2011
[32] 方开泰, 许建伦. 统计分布. 北京: 科学出版社, 1987. 277−282.

Fang Kai-Tai, Xu Jian-Lun. Statistical Distribution. Beijing Science Press, 1987. 277−282
[33] 刘兴宝, 袁道成. 基于纹理分析的小波变换图像清晰度评价方法研究. 仪器仪表学报, 2007, 28(8): 1508−1513

Liu Xin-Bao, Yuan Dao-Cheng. Research on image definition criterion using wavelet transform based on the tex ture analysis. Chinese Journal of Scientific Instrument, 2007, 28(8): 1508−1513