[1] da Motta M, Pons M N, Roche N. Study of filamentous bacteria by image analysis and relation with settleability[J]. Water Science and Technology, 2002, 46(1/2): 363-369.

[2] Jenne R, Cenens C, Geeraerd A H, et al. Towards on-line quantification of fiocs and filaments by image analysis[J]. Biotechnology Letters, 2002, 24(11): 931-935.

[3] Ciresan DC, Gambardella LM, GiustiA, et al. Deep neural networks segment neuronal membranes in electron microscopy images[C]∥Advances in Neural Information Processing Systems, December 3-6, 2012, Lake Tahoe, Nevada, United States. New York: Curran Associates, 2012: 2852- 2860.

[4] Costa J C, Mesquita D P, Amaral A L, et al. Quantitative image analysis for the characterization of microbial aggregates in biological wastewater treatment: a review[J]. Environmental Science and Pollution Research, 2013, 20(9): 5887-5912.

[5] Mesquita D P, Amaral A L, Ferreira E C. Activated sludge characterization through microscopy:a review on quantitative image analysis and chemometric techniques[J]. Analytica Chimica Acta, 2013, 802: 14-28.

[6] 史艳琼, 尹秋霞, 卢荣胜. 变焦显微成像三维测量算法性能分析[J]. 激光与光电子学进展, 2019, 56(7): 071202.

    Shi Y Q, Yin Q X, Lu R S. Performance analysis of three-dimensional measurement algorithm with focus variation microscopic imaging[J]. Laser & Optoelectronics Progress, 2019, 56(7): 071202.

[7] Shreyamsha Kumar B K. Multifocus and multispectral image fusion based on pixel significance using discrete cosine harmonic wavelet transform[J]. Signal, Image and Video Processing, 2013, 7(6): 1125-1143.

[8] 高颖, 王阿敏, 王凤华, 等. 改进的小波变换算法在图像融合中的应用[J]. 激光技术, 2013, 37(5): 690-695.

    Gao Y, Wang A M, Wang F H, et al. Application of improved wavelet transform algorithm in image fusion[J]. Laser Technology, 2013, 37(5): 690-695.

[9] Tian J, Chen L. Adaptive multi-focus image fusion using a wavelet-based statistical sharpness measure[J]. Signal Processing, 2012, 92(9): 2137-2146.

[10] Burt P, Adelson E. The Laplacian pyramid as a compact image code[J]. IEEE Transactions on Communications, 1983, 31(4): 532-540.

[11] Petrovic V S, Xydeas C S. Gradient-based multiresolution image fusion[J]. IEEE Transactions on Image Processing, 2004, 13(2): 228-237.

[12] RockingerO. Image sequence fusion using a shift-invariant wavelet transform[C]∥Proceedings of International Conference on Image Processing, October 26-29, 1997, Santa Barbara, CA, USA. New York: IEEE, 1997: 288- 291.

[13] Lewis J J. O’Callaghan R J, Nikolov S G, et al. Pixel-and region-based image fusion with complex wavelets[J]. Information Fusion, 2007, 8(2): 119-130.

[14] Nencini F, Garzelli A, Baronti S, et al. Remote sensing image fusion using the curvelet transform[J]. Information Fusion, 2007, 8(2): 143-156.

[15] Zhang Q, Guo B L. Multifocus image fusion using the nonsubsampled contourlet transform[J]. Signal Processing, 2009, 89(7): 1334-1346.

[16] 张肃, 战俊彤, 付强, 等. 基于多小波融合的偏振探测去雾技术[J]. 激光与光电子学进展, 2018, 55(12): 122602.

    Zhang S, Zhan J T, Fu Q, et al. Polarization detection defogging technology based on multi-wavelet fusion[J]. Laser & Optoelectronics Progress, 2018, 55(12): 122602.

[17] 李清灵, 尹达一, 庾金涛, 等. 高分辨大视场紫外-可见光偏振成像融合处理技术[J]. 光学学报, 2019, 39(6): 0611001.

    Li Q L, Yin D Y, Yu J T, et al. Ultraviolet-visible polarimetric imaging and image fusion technology with high resolution and large field-of-view[J]. Acta Optica Sinica, 2019, 39(6): 0611001.

[18] 聂敏. 一种改进的DCT变换图像融合技术[J]. 科技通报, 2012, 28(4): 178-179, 205.

    Nie M. An improved DCT transform image fusion technology[J]. Bulletin of Science and Technology, 2012, 28(4): 178-179, 205.

[19] Tang J S. A contrast based image fusion technique in the DCT domain[J]. Digital Signal Processing, 2004, 14(3): 218-226.

[20] NooshyarM, AbdipourM, KhajueeM. Multi-focus image fusion for visual sensor networks in wavelet domain[M] ∥Movaghar A, Jamzad M, Asadi H. Artificial intelligence and signal processing. Communications in computer and information science. Cham: Springer, 2014, 427: 23- 31.

[21] 周彦平, 谢小龙, 刘洋, 等. CMOS图像传感器电子辐照实验的研究[J]. 红外与激光工程, 2016, 45(5): 0520006.

    Zhou Y P, Xie X L, Liu Y, et al. Electron radiation experiment of CMOS image sensor[J]. Infrared and Laser Engineering, 2016, 45(5): 0520006.

[22] Haghighat M B A, Aghagolzadeh A, Seyedarabi H. Multi-focus image fusion for visual sensor networks in DCT domain[J]. Computers & Electrical Engineering, 2011, 37(5): 789-797.

[23] Desale RP, Verma SV. Study and analysis of PCA, DCT & DWT based image fusion techniques[C]∥2013 International Conference on Signal Processing, Image Processing & Pattern Recognition, February 7-8, 2013, Coimbatore, India. New York: IEEE, 2013: 66- 69.

[24] Li H, Manjunath B S, Mitra S K. Multisensor image fusion using the wavelet transform[J]. Graphical Models and Image Processing, 1995, 57(3): 235-245.

[25] 周兵, 韩媛媛, 徐明亮, 等. 快速非局部均值图像去噪算法[J]. 计算机辅助设计与图形学学报, 2016, 28(8): 1260-1268.

    Zhou B, Han Y Y, Xu M L, et al. A fast non-local means image denoising algorithm[J]. Journal of Computer-Aided Design & Computer Graphics, 2016, 28(8): 1260-1268.

[26] 李雄飞, 张小利, 刘兆军, 等. 医学图像融合质量评价模型[J]. 小型微型计算机系统, 2012, 33(7): 1608-1612.

    Li X F, Zhang X L, Liu Z J, et al. Model for evaluating quality of medical image fusion[J]. Journal of Chinese Computer Systems, 2012, 33(7): 1608-1612.

[27] Mahbubur Rahman S M, Omair Ahmad M, Swamy M N S. Contrast-based fusion of noisy images using discrete wavelet transform[J]. IET Image Processing, 2010, 4(5): 374.

[28] 张宝华, 吕晓琪. 一种复合型PCNN的NSCT域多聚焦图像融合方法[J]. 小型微型计算机系统, 2014, 35(2): 393-396.

    Zhang B H, Lv X Q. Multi-focus image fusion algorithm based on compound PCNN in NSCT domain[J]. Journal of Chinese Computer Systems, 2014, 35(2): 393-396.