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Lizhuang ma

Work place: Department of Computer science/Shanghai Jiaotong University,Shanghai, China

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Research Interests: Visualization, Computer systems and computational processes, Computer Graphics and Visualization, 2D Computer Graphics, Computer Animation, Graphics Processing Unit, Data Structures and Algorithms

Biography

Lizhuang Ma received his B.Sc.and Ph.D. degrees at Zhejiang University,China in 1985 and 1991, respectively.He was a Post-doctor at the Department of Computer Science of Zhejiang University from 1991 to 1993. Dr. Ma was promoted as an Associative Professor and Professor in 1993 and 1995, respectively.
He is also the Chairman of the Center of Information Science and Technology for Traditional Chinese Medicine at Shanghai Traditional Chinese Medicine University. His research interests include computer-aided geometric design, computer graphics, scientific data visualization, computer animation, digital media technology, and theory and applications for computer graphics, CAD/CAM.
Dr. Ma was promoted as an Associative Professor and Professor in 1993 and 1995, respectively. He stayed at Zhejiang University from 1991 to 2002. He is now a Full Professor, Ph.D. Tutor, and the Head of Digital Media Technology and Data Reconstruction Lab at the Department of Computer Science and Engineering, Shanghai Jiao Tong University, China since 2002. Dr. Ma has published more than 100 academic research papers in both domestic and international journals.

Author Articles
Detecting and Removing the Motion Blurring from Video Clips

By Yang shen Lizhuang ma

DOI: https://doi.org/10.5815/ijmecs.2010.01.03, Pub. Date: 8 Nov. 2010

In this paper, we give a framework to deblur the blurry frame in a video clip. Two kinds of motion blurring effects can be removed in the video, one is the blurring effect caused by hand shaking, the other is the blurring effect caused by a fast moving object. For the blurring caused by hand shaking, PSF is estimated by comparing the stable area in blurry frame and non-blurry frame, so the Richardson-Lucy algorithm can restore the blurry frame by non-blind deconvolution. We also propose a framework to deblur the motion blurring objects which move fast in the video. The background is reconstructed by the algorithm in each frame, so an accurate matte of blurry object can be extracted to deblur the moving object by alpha matting. Results show our method is effective.

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