王波

Professor   Supervisor of Doctorate Candidates   Supervisor of Master's Candidates

Main positions:Professor

Gender:Male

Alma Mater:Dalian University of Technology

Degree:Doctoral Degree

School/Department:School of Information and Communication Engineering

Discipline:Signal and Information Processing

Business Address:A512, Haishan Building

Contact Information:bowang@dlut.edu.cn

E-Mail:bowang@dlut.edu.cn


Paper Publications

Complexity based sample selection for camera source identification

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Indexed by:会议论文

Date of Publication:2017-08-05

Included Journals:EI

Volume:226 LNICST

Page Number:168-177

Abstract:Sensor patter noise (SPN) has been proved to be an unique fingerprint of a camera, and widely used for camera source identification. Previous works mostly construct reference SPN by averaging the noise residuals extracted from images like blue sky. However, this is unrealistic in practice and the noise residual would be seriously affected by scene detail, which would significantly influence the performance of camera source identification. To address this problem, a complexity based sample selection method is proposed in this paper. The proposed method is adopted before the extraction of noise residual to select image patches with less scene detail to generate the reference SPN. An extensive comparative experiments show its effectiveness in eliminating the influence of image content and improving the identification accuracy of the existing methods. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018.

Pre One:Cross-class and inter-class alignment based camera source identification for re-compression images

Next One:Double JPEG compression detection based on fusion features

Profile

I am not a star professor, but I am working on the road to a star professor of tomorrow. For this reason, self-motivated graduate students are desired to my research group. Self-motivated attitude and initiative are the most important characteristics in our laboratory. Students with preliminary knowledge on signal (image/video) processing and programming skills are most welcome. For your academic trip in my group, I will devote myself to training your FIVE abilities: Intellectual skills, Communication skills, Personality characteristics, Habit of work, Mechanical skills, which are considered as the most important abilities of a graduated student.

http://ice.dlut.edu.cn/WangBo/index.html