NDLI: Image Sharpening for Efficient Source Camera Identification Based on Sensor Pattern Noise Estimation

Content Provider	IEEE Xplore Digital Library
Author	Lawgaly, A. Khelifi, F. Bouridane, A.
Copyright Year	2013
Description	Author affiliation: Fac. of Eng. & Environ., Northumbria Univ., Newcastle upon Tyne, UK (Lawgaly, A.; Khelifi, F.; Bouridane, A.)
Abstract	Sensor pattern noise (SPN) has been widely used for image authentication and camera source identification. Its abundance in terms of the information that it carries along a wide frequency range allows for reliable identification in the presence of many imaging sensors. SPN estimation relies on the difference between a set of images and their smoothened versions to capture the characteristics of the sensor. Therefore, this process uses a part of the sensor noise content which is concentrated in the high frequency range and present in edges, contours and textured areas of the images. In this report, we propose to use a sharpening method to amplify the PRNU components for better estimation, thus enhancing the performance of camera source identification (CSI). Significant improvements have been achieved by the proposed method as demonstrated with two recent source camera identification techniques.
Starting Page	113
Ending Page	116
File Size	336507
Page Count	4
File Format	PDF
ISBN	9780769550770
DOI	10.1109/EST.2013.25
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-09
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sensor pattern noise (SPN) Image sharpening Unsharp masking Forensics Noise Estimation Transform coding Digital cameras Security Source camera identification
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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