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» A classifier design for detecting Image manipulations
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CVPR
2009
IEEE
15 years 2 months ago
A Min-Max Framework of Cascaded Classifier with Multiple Instance Learning for Computer Aided Diagnosis
The computer aided diagnosis (CAD) problems of detecting potentially diseased structures from medical images are typically distinguished by the following challenging characterist...
Dijia Wu (Rensselaer Polytechnic Institute), Jinbo...
ICIP
2010
IEEE
13 years 5 months ago
Undetectable image tampering through JPEG compression anti-forensics
Recently, a number of digital image forensic techniques have been developed which are capable of identifying an image's origin, tracing its processing history, and detecting ...
Matthew C. Stamm, Steven K. Tjoa, W. Sabrina Lin, ...
IH
2004
Springer
14 years 23 days ago
Feature-Based Steganalysis for JPEG Images and Its Implications for Future Design of Steganographic Schemes
In this paper, we introduce a new feature-based steganalytic method for JPEG images and use it as a benchmark for comparing JPEG steganographic algorithms and evaluating their embe...
Jessica J. Fridrich
CVPR
2012
IEEE
11 years 10 months ago
Contextual Boost for Pedestrian Detection
Pedestrian detection from images is an important and yet challenging task. The conventional methods usually identify human figures using image features inside the local regions. In...
Yuanyuan Ding, Jing Xiao
ICIP
2002
IEEE
14 years 9 months ago
Automatic red-eye detection and correction
"Red-eye" is a phenomenon that causes the eyes of flash photography subjects to appear unnaturally reddish in color. Though commercial solutions exist for red-eye correc...
Matthew Gaubatz, Robert Ulichney