Lab：Laboratories of Opto-electronics Engineering and Instrument Science Computational Imaging Lab
Phone: +86 571 8691 9029 Email: cuigm@hdu.edu.cn
Address: Room 603, No.2 Teaching Building, Xiasha Campus,
Hangzhou Dianzi University, Jianggan District
Hangzhou City, Zhejiang Province, China
Computational Imaging Lab
Computational Imaging Lab is dedicated to the research and application promotion of computational imaging, intelligent image processing and sensor technology. The knowledge system of optics, electronics, algorithms, machinery and other disciplines are considered and comprehensively applied to solve practical engineering problems. The main research directions include optoelectronic imaging and intelligent image processing technology, computational imaging theory and method, optoelectronic detection technology and so on.
Research Interests
Computational imaging technology
■Coded exposure imaging ■High dynamic imaging ■Multi-spectral imaging
■Imaging chain optimization ■Infrared imaging and target detection ■Microscopy imaging
Intelligent image processing
■Motion image deblurring ■Image quality asses**ent (IQA) ■Image quality reconstruction
■Multiband/multi source image fusion ■Image dehaze and enhancement ■Deep learning algorithm
Optoelectronic detection
■Machine vision detection ■On-line water quality ****yzer
Current research project
Research on the theory and method of motion blur restoration based on sequential image acquisition by coded exposure imaging
National Natural Science Foundation of China (Grant No. 61805063)
The plenoptic function-based visual saliency computational extraction theory and method
Zhejiang Provincial Natural Science Foundation of China (Grant No. LY18F050007)
Teaching
Computational imaging techniques and applications
Optoelectronic imaging and image processing
Optical Fiber Communication and Sensor
Photoelectric Imaging Principle and Technology
Physical Optics (Section on interference, diffraction and Fourier optics)
Publications
Guangmang Cui, Jufeng Zhao, Liyao Zhu, and Xiaoli Gong "Glass bottle cap gap width detection combined with tran**ission lighting system design based on machine vision", Proc. SPIE 11023, Fifth Symposium on Novel Optoelectronic Detection Technology and Application, 110230O.
Cui Guangmang, Yu Kuaikuai, Ye Xiaojie, Zhao Jufeng, Zhu Liyao. Searching Method for Optimal Code Sequence of Coded Exposure Based on Memetic Algorithm[J]. Acta Optica Sinica, 2019, 39(3): 0311004.
Cui G, Zhang K, Xu Z, et al. Image noise level estimation based on affine reconstruction and noise sample histogram[J]. Infrared & Laser Engineering, 2018, 47(S1):190-196.
Ouyang Z, Cui G, Zhao J, et al. A layered image depth of field rendering algorithm using anisotropic filtering [J]. Optical Technique, 2018(04):469-475. (Corresponding author)
Weiping Hua, Jufeng Zhao, Guangmang Cui, Xiaoli Gong, Peng Ge, Jiang Zhang, Zhihai Xu. Stripe nonuniformity correction for infrared imaging system based on single image optimization [J]. Infrared Physics & Technology 2018, 91: 250-262
Guangmang Cui, Weiping Hua, Jufeng Zhao, Xiaoli Gong, Liyao Zhu, "A motion deblurring method with long/short exposure image pairs ", Proc. SPIE 10620, 2017 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology, 106201O.
Hua W, Zhao J, Cui G, et al. Local Saliency Extraction for Fusion of Visible and Infrared Images[C]// CCF Chinese Conference on Computer Vision. Springer, Singapore, 2017:210-221.
Xu L, Cui G, Zheng C et al. Fusion method of visible and infrared images based on multi-scale decomposition and saliency region extraction [J], Laser & Optoelectronics Progress, 2017, 54(11):105-114. (Corresponding author)
Cui G, Zhao J, Xin Q. Experiment design for surface defect inspection base on industry production equipment [J]. Research & Exploration in Laboratory, 2017,36(4): 164-166.
Guangmang Cui, Jufeng Zhao, Xiumin Gao, Huajun Feng, Yueting Chen, High quality image-pair based deblurring method using edge mask and improved residual deconvolution [J], Optical Review, 2017 , 24 (2) :128-138
Jufeng Zhao, Guangmang Cui, Xiaoli Gong, Yue Zang, Shuyin Tao, Daodang Wang.Fusion of visible and infrared images using global entropy and gradient constrained regularization [J]. Infrared Physics & Technology 2017, 81 : 201–209
Guangmang Cui, Huajun Feng, ZhihaiXu, Qi Li, Yueting Chen. No-reference image noise estimation based on noise level accumulation [J], Optical Review, 2016, 23(2): 208-219.
Lirong He, Guangmang Cui, Huajun Feng,Zhihai Xu, Qi Li, Yueting Chen. Fast image restoration method based on coded exposure and vibration detection, Optical Engineering, 2015, 54(10): 536-545.
Lirong He, Guangmang Cui, Huajun Feng,Zhihai Xu, Qi Li, Yueting Chen. The optimal code searching method with an improved criterion of coded exposure for remote sensing image restoration [J]，Optics Communications, 2015, 338: 540-550.
Guangmang Cui, Huajun Feng, ZhihaiXu, Qi Li, Yueting Chen. Detail preserved fusion of visible and infrared images using regional saliency extraction and multi-scale image decomposition，Optics Communications, 2015, 341: 199-209.
Cui G, Feng H, Xu Z, et al. Image quality asses**ent method for noisy images based on CSF and affine reconstruction model, Journal of Zhejiang University(Engineering Science), 2015, 50(1): 144-150.
Guangmang Cui, Huajun Feng, ZhihaiXu, Qi Li, Yueting Chen.A modified Richardson-Lucy algorithm for single image with adaptive reference maps, Optics and Laser Technology, 2014, 58: 100-109.
Cui G, Zhao J, Feng H, et al. Construction of fast simulation model for degraded image by inhomogeneous medium[J]. Journal of Zhejiang University, 2014, 48(2):303-311.