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Proceedings Paper

Improvements on image authentication and recovery using distributed source coding
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Paper Abstract

This paper investigates the performance and proposes modifications to earlier methods for image authentication using distributed source coding. This approach works well on images that have undergone affine geometric transformations such as rotation and resizing and intensity transformations such as contrast and brightness adjustment. The results show that the improvements proposed here can be used to make the original scheme for image authentication robust to affine geometric and intensity transformations. The modifications are of much lesser computational complexity when compared with other schemes for estimation of channel parameters.

Paper Details

Date Published: 4 February 2009
PDF: 10 pages
Proc. SPIE 7254, Media Forensics and Security, 725415 (4 February 2009); doi: 10.1117/12.807352
Show Author Affiliations
Nitin Khanna, Purdue Univ. (United States)
Antoni Roca, Univ. Politecnica de Valencia (Spain)
George T. C. Chiu, Purdue Univ. (United States)
Jan P. Allebach, Purdue Univ. (United States)
Edward J. Delp, Purdue Univ. (United States)


Published in SPIE Proceedings Vol. 7254:
Media Forensics and Security
Edward J. Delp; Jana Dittmann; Nasir D. Memon; Ping Wah Wong, Editor(s)

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