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:期刊论文
Date of Publication:2018-10-01
Journal:SIGNAL PROCESSING-IMAGE COMMUNICATION
Included Journals:SCIE
Volume:68
Page Number:162-168
ISSN No.:0923-5965
Key Words:Camera model identification; Image forensics; Convolutional neural networks (CNNs); Local binary patterns (LBP)
Abstract:Source camera model identification has always been one of the main fields of digital image forensics since it is the foundation of solving a wide range of forensic problems. Several effective camera model identification algorithms have been developed for the practical necessity. However, they are mostly based on traditional machine learning methods and rely on well-designed features or models. Since deep learning has made great progress in computer vision tasks, significant interest has arisen in applying deep learning in image forensics. In this paper, we present a deep learning approach to tackle source camera model identification problem. We modify a convolutional neural networks (CNNs) structure similar to AlexNet and equip it with a simple local binary patterns (LBP) preprocessing operation. The identification accuracy on the public database "Dresden Image Database" achieves 98.78% over 12 camera models without any other sophisticated procedures, for instance, extra classifier, majority voting, etc.
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
