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
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Indexed by:会议论文
Date of Publication:2015-07-12
Included Journals:EI、CPCI-S、Scopus
Page Number:866-870
Key Words:Sensor pattern noise; source camera identification; image complexity; patch-based sensor pattern noise
Abstract:Sensor pattern noise (SPN) has been proved to be an inherent fingerprint of a camera, and it has been broadly used in the fields of image authentication and camera source identification. However, the SPN extracted using current denoising algorithm always contains image content residual, which would significatively influence the accuracy of camera source identification. In this paper, a novel patch-based (PB) sensor pattern noise algorithm for camera source identification is proposed to solve this problem. Low-complexity patches of images are selected to construct local reference SPN, which contains least image content residual. The global reference SPN is constituted with the block-wised local SPN. Similarly for the test image, SPN is extracted from low-complexity region, and making correlation with corresponding local reference SPN. Our experiments on the Dresden database demonstrate that the proposed approach outperforms two sensor pattern noise estimation methods on the literatures as baseline.
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