JPEG image classification in digital forensic via DCT coefficient analysis-Reference-Cited by-同舟云学术

JPEG image classification in digital forensic via DCT coefficient analysis

Published:2017-07-04 Issue:10 Volume:77 Page:12805-12835
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Alherbawi Nadeem^ORCID,Shukur Zarina,Sulaiman Rossilawati

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/article/10.1007/s11042-017-4915-3/fulltext.html

Reference20 articles.

1. Alherbawi N, Shukur Z, Sulaiman R (2013) Systematic literature review on data carving in digital forensic. Procedia Technol 11:86–92

2. Alherbawi N, Shukur Z, Sulaiman R (2017) Current techniques in JPEG image authentication and forgery detection. J Eng Appl Sci 12(1):104–112. https://www.medwelljournals.com/abstract/?doi=jeasci.2017.104.112&keyword=forgery

3. Bianchi T, Piva A (2012) Image forgery localization via block-grained analysis of jpeg artifacts. IEEE Trans Inf Forensics Secur 7(3):1003–1017

4. Bianchi T, Rosa AD, Piva A (2011) Improved DCT coefficient analysis for forgery localization in JPEG images. Acoustics, Speech and Signal … pp 2444–2447

5. Chen Y, Thing VL (2013) Image content analysis for sector-wise JPEG fragment classification. J Vis Commun Image Represent 24(7):857–866

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