[1] Chen Y Q, Cheng D, Zhu L et al. Combining robot-assisted surgical system and 3D visualization system for teaching minimally invasive vitreoretinal surgery[J]. International Journal of Ophthalmology, 15, 255-260(2022).

[2] Liu Y Z. Update on microincisional phacoemulsification[J]. Journal of Sun Yat-Sen University (Medical Sciences), 31, 731-735(2010).

[3] Ding W J, Lai T F, Zhu C H et al. A Real-time fusion system for Multi-focus microscopic images based on mobile platform[C], 708-712(2019).

[4] Wu K J. Development of neurosurgical operating microscope[D](2007).

[5] Wang W C, Chang F L. A multi-focus image fusion method based on Laplacian pyramid[J]. Journal of Computers, 6, 2559-2566(2011).

[6] Jia R Q, Yin G F, Zhao N J et al. Multi-focus image fusion method for microscopic algal images[J]. Acta Optica Sinica, 43, 1210001(2023).

[7] Ma J L, Zhou Z Q, Wang B et al. Infrared and visible image fusion based on visual saliency map and weighted least square optimization[J]. Infrared Physics and Technology, 82, 8-17(2017).

[8] Bavirisetti D P, Xiao G, Zhao J H et al. Multi-scale guided image and video fusion: a fast and efficient approach[J]. Circuits, Systems, and Signal Processing, 38, 5576-5605(2019).

[9] Liu Y, Chen X, Peng H et al. Multi-focus image fusion with a deep convolutional neural network[J]. Information Fusion, 36, 191-207(2017).

[10] Yang L H, Zhao K, Yu S S et al. Design of continuous zoom object lenses for tridimensional operating microscope[J]. Infrared and Laser Engineering, 45, 118008(2016).

[11] Hwooi S K W, Sabri A Q M. Enhanced correlation coefficient as a refinement of image registration[C], 216-221(2017).

[12] Yang B C, Wang P, Li X Y et al. Infrared and visible light image registration based on modal conversion and robust features[J]. Laser & Optoelectronics Progress, 59, 0410013(2022).

[13] Azam M A, Khan K B, Salahuddin S et al. A review on multimodal medical image fusion: compendious analysis of medical modalities, multimodal databases, fusion techniques and quality metrics[J]. Computers in Biology and Medicine, 144, 105253(2022).

[14] Evangelidis G D, Psarakis E Z. Parametric image alignment using enhanced correlation coefficient maximization[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 30, 1858-1865(2008).

[15] Varnousfaderani E S, Rajan D. Weighted color and texture sample selection for image matting[J]. IEEE Transactions on Image Processing, 22, 4260-4270(2013).

[16] Ojala T, Pietikainen M, Maenpaa T. Multiresolution gray-scale and rotation invariant texture classification with local binary patterns[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24, 971-987(2002).

[17] Feng F J, Huang H, Liu D et al. Local complexity difference matting based on weight map and alpha mattes[J]. Multimedia Tools and Applications, 81, 43357-43372(2022).

[18] Chen J, Li X J, Luo L B et al. Multi-focus image fusion based on multi-scale gradients and image matting[J]. IEEE Transactions on Multimedia, 24, 655-667(2021).

[19] Hossny M, Nahavandi S, Creighton D. A quadtree driven image fusion quality assessment[C], 419-424(2007).

[20] Xydeas C S, Petrović V. Objective image fusion performance measure[J]. Military Technical Courier, 56, 181-193(2000).

[21] Wang Z, Bovik A C, Sheikh H R et al. Image quality assessment: from error visibility to structural similarity[J]. IEEE Transactions on Image Processing, 13, 600-612(2004).

[22] Singh S, Mittal N, Singh H. Review of various image fusion algorithms and image fusion performance metric[J]. Archives of Computational Methods in Engineering, 28, 3645-3659(2021).

[23] Kaur K, Jindal N, Singh K. Fractional Fourier Transform based Riesz fractional derivative approach for edge detection and its application in image enhancement[J]. Signal Processing, 180, 107852(2021).