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Jichang Guo

Jichang Guo







  • Image/Video Processing

  • Applications of Image Processing and Computer Vision


1999.3-2003.6 Ph. D., School of Electronic Information Engineering, Tianjin University.

1990.9-1993.3 M.S., School of Electronic Information Engineering, Tianjin University.

1984.9-1988.7: B. S., Department of Electronic Engineering, Nanjing University of Science and Technology,


2006-Current Professor, School of Electronic Information Engineering, Tianjin University

2001-2006 Associate Professor, School of Electronic Information Engineering, Tianjin University

1994-2001 Assistant Professor, School of Electronic Information Engineering, Tianjin University


2002.2-2014.6 Vice Dean, School of Electronic Information Engineering, Tianjin University

2010.12-2011.1 Education Training Course, USA

2005.4-2006.3 Senior Visiting Scholar, Tokyo University of Science, Japan

2000.4-2000.9 Visiting Scholar, JICA Center, Japan


Editor:Journal of Data Acquisition and Processing

Member of council:Electronic Education Branch, China Higher Education Society

Senior member:China Institute of Electronics


(1) 2015-2018 Research on active image steganalysis based on statistical model, Natural Science Foundation of Tianjin, China

(2) 2014-2019 Perception, fusion, and representation of web big data, National Basic Research Program of China (973 Program)

(3) 2009-2010 The development and application of network stereo TV system, National High-tech R&D Program(863 Program)

(4) 2009-2010 Software development of moving object detection and tracking in embedded video surveillance system , Tianjin science and technology support program

(5) 2007-2009 Research on the key technology of network stereo TV terminal, National High-tech R&D Program (863 Program)


(1)Guo Jichang(#)(*), Li Chongyi, Guo Chunle, Chen Shanji, “Research progress of underwater image enhancement and restoration methods,”JOURNAL OF IMAGE AND GRAPHICS, 2017, 22(3): 273-285.

(2)Guo Jichang(#)(*), Li Chongyi, Zhang Yan, Gu Xiangyuan, “Quality assessment method for underwater images,”JOURNAL OF IMAGE AND GRAPHICS, 2017, 22(1):1-8.

(3) Li Chongyi(#),Guo Jichang(*), Cong Runmin, Pang Yanwei, Wang Bo, “Underwater image enhancement by dehazing with minimum information loss and histogram distribution prior,”IEEE Transactions on Image Processing,2016, 25(12): 5664-5677.

(4) Li Chongyi(#),Guo Jichang(*), Chen Shanji, Tang Yibin, Pang Yanwei, Wang Jian, “Underwater image restoration based on minimum information loss principle and optical properties of underwater imaging,”IEEE International Conference on Image Processing (ICIP), 2016: 1993-1997.

(5) Li Chongyi(#),Guo Jichang(*), Pang Yanwei, Chen Shanji, Wang Jian, “Single underwater image restoration by blue-green channels dehazing and red channel correction,”IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),2016: 1731-1735.

(6) Li Chongyi(#),Guo Jichang(*), Wang Bo, Cong Runmin, Zhang Yan, Wang Jian, “Single underwater image enhancement based on color cast removal and visibility restoration,”Journal of Electronic Imaging, 2016, 25(3): 033012-033012.

(7) Wang Bo(#),Guo Jichang(*), Zhang Yan, Li Chongyi, “Hierarchical feature concatenation-based kernel sparse representations for image categorization,”The Visual Computer, 2016: 1-17.

(8) Wang Bo(#),Guo Jichang, Zhang Yan, “An analysis and application of fast nonnegative orthogonal matching pursuit for image categorization in deep networks,”Mathematical Problems in Engineering, 2015: 1-9.

(9) Li Chongyi(#),Guo Jichang(*), “Underwater image enhancement by dehazing and color correction,”Journal of Electronic Imaging, 2015, 24(3): 033023-033023.

(10) Gong Jiachang(#),Guo Jichang(*), “Exposing region duplication through local geometrical color invariant features,”Journal of Electronic Imaging, 2015, 24(3): 033010-033010.

(11)Guo Jichang(#)(*), Xu Ying, Gong Jiachang, “An Efficient Low-Delay Multi-View Distributed Video Coding,”Journal of Tianjin University, 2015(12):1111-1117.

(12) Wang Bo(#),Guo Jichang(*), Zhang Yan, “Learnable receptive fields scheme in deep networks for image categorization,”Control Theory&Applications, 2015, 32(8):1114-1119.

(13) Zhao Jie(#),Guo Jichang(*), “Image copy-paste forgery detection based on JPEG coefficients change rate,”Journal of Zhejiang University(Engineering Science), 2015, 49(10):1893-1901.

(14) Gong Jiachang(#),Guo Jichang(*), “Image Copy-Move Forgeries Detection Using CSURF,”Journal of Tianjin University(Science and Technology), 2014(9):759-764.

(15)Guo Jichang(#)(*), Sun Jun, “Design of Pseudo-Random Generalized Binary Rotation Matrix Based on Generalized Rotation Matrix,”Journal of Data Acquisition and Processing, 2014, 29(5):677-682.

(16) Zhao Jie(#)andGuo Jichang, “Passive forensics for copy-move image forgery using a method based on DCT and SVD,”Forensic Science International, 2013, 233(1): 158-166.

(17) Jiang Dan(#),Guo Jichang(*)and Wu Xiaojia, “Low-complexity distributed multi-view video coding for wireless video sensor networks based on compressive sensing theory,”Neurocomputing, 2013, 120: 415-421.

(18) Zhao Jie(#),Guo Jichang, Zhang Yan, “Survey: blind forensic of JPEG forgeries based on blocking artifacts,”Journal of Image and Graphics, 2013, 18(6):613-620.

(19) Wu Xiaojia(#),Guo Jichang(*), Jiang Dan, Xue Chen, “A Distributed Compress Sensing Codec Model in Multi-View Stereo Video,”Journal of Tianjin University, 2012(10):895-902.

(20)Guo Jichang(#)(*), Zhao Junjie, “Stereoscopic Error Concealment Based on Motion Characteristic Analysis,”Journal of Electronics&Information Technology, 2012, 34(12):2809-2815.

(21) Chenli Dichao(#),Guo Jichang(*), “Detection and Tracking of Multi-object Under Moving Camera,”Computer Engineering, 2012, 38(20):132-135.

(22) Wang Chen(#),Guo Jichang(*), Feng Xiaomin, “Abandoned obiect Detection Method Based on Double Layer Background,”Computer Engineering, 2011, 37(24):167-168.

(23) Feng Xiaomin(#),Guo Jichang(*), Zhang Yan, “Tracking algorithm of interested moving target under complex background,” Journal of Computer Applications, 2011, 31(9):2493-2496.