The Library
Preprocessing reference sensor pattern noise via spectrum equalization
Tools
Lin, Xufeng and Li, Chang-Tsun (2016) Preprocessing reference sensor pattern noise via spectrum equalization. IEEE Transactions on Information Forensics and Security, 11 (1). pp. 126-140. doi:10.1109/TIFS.2015.2478748 ISSN 1556-6013.
|
PDF
WRAP-prepocessing-refererence-sensor-pattern-noise-Li-2016.pdf - Accepted Version - Requires a PDF viewer. Download (5Mb) | Preview |
Official URL: http://dx.doi.org/10.1109/TIFS.2015.2478748
Abstract
Although sensor pattern noise (SPN) has been proven to be an effective means to uniquely identify digital cameras, some non-unique artifacts, shared amongst cameras undergo the same or similar in-camera processing procedures, often give rise to false identifications. Therefore, it is desirable and necessary to suppress these unwanted artifacts so as to improve the accuracy and reliability. In this work, we propose a novel preprocessing approach for attenuating the influence of the nonunique artifacts on the reference SPN to reduce the false identification rate. Specifically, we equalize the magnitude spectrum of the reference SPN through detecting and suppressing the peaks according to the local characteristics, aiming at removing the interfering periodic artifacts. Combined with 6 SPN extraction or enhancement methods, our proposed Spectrum Equalization Algorithm (SEA) is evaluated on the Dresden image database as well as our own database, and compared with the state-of-the-art preprocessing schemes. Experimental results indicate that the proposed procedure outperforms, or at least performs comparably to, the existing methods in terms of the overall ROC curve and kappa statistic computed from a confusion matrix, and tends to be more resistant to JPEG compression for medium and small image blocks.
Item Type: | Journal Article | ||||||||
---|---|---|---|---|---|---|---|---|---|
Subjects: | Q Science > Q Science (General) Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software |
||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||||
Library of Congress Subject Headings (LCSH): | Image processing -- Digital techniques, Forensic sciences | ||||||||
Journal or Publication Title: | IEEE Transactions on Information Forensics and Security | ||||||||
Publisher: | IEEE | ||||||||
ISSN: | 1556-6013 | ||||||||
Official Date: | January 2016 | ||||||||
Dates: |
|
||||||||
Volume: | 11 | ||||||||
Number: | 1 | ||||||||
Page Range: | pp. 126-140 | ||||||||
DOI: | 10.1109/TIFS.2015.2478748 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Reuse Statement (publisher, data, author rights): | © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | ||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||
Date of first compliant deposit: | 4 March 2016 | ||||||||
Date of first compliant Open Access: | 4 February 2019 | ||||||||
Funder: | Seventh Framework Programme (European Commission) (FP7) | ||||||||
Grant number: | 251677 (FP7) |
Request changes or add full text files to a record
Repository staff actions (login required)
View Item |
Downloads
Downloads per month over past year