Inference of a compact representation of sensor fingerprint for source camera identification

Li, Ruizhe, Li, Chang-Tsun and Guan, Yu 2018, Inference of a compact representation of sensor fingerprint for source camera identification, Pattern recognition, vol. 74, pp. 556-567, doi: 10.1016/j.patcog.2017.09.027.

Attached Files
Name Description MIMEType Size Downloads

Title Inference of a compact representation of sensor fingerprint for source camera identification
Author(s) Li, Ruizhe
Li, Chang-TsunORCID iD for Li, Chang-Tsun orcid.org/0000-0003-4735-6138
Guan, Yu
Journal name Pattern recognition
Volume number 74
Start page 556
End page 567
Total pages 12
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2018-02
ISSN 0031-3203
Keyword(s) Image forensics
Source camera identification (SCI)
Sensor pattern noise (SPN)
PCA de-noising
Science & Technology
Technology
Computer Science, Artificial Intelligence
Engineering, Electrical & Electronic
Computer Science
Engineering
Language eng
DOI 10.1016/j.patcog.2017.09.027
Field of Research 0899 Other Information And Computing Sciences
0906 Electrical And Electronic Engineering
0801 Artificial Intelligence And Image Processing
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2017, The Authors
Persistent URL http://hdl.handle.net/10536/DRO/DU:30119664

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 8 times in TR Web of Science
Scopus Citation Count Cited 9 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 90 Abstract Views, 2 File Downloads  -  Detailed Statistics
Created: Tue, 12 Mar 2019, 13:54:10 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.