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Detection and Identification of Image Manipulation Based on Reversible Histogram Shift.

Authors :
OBARA, YUKI
NIWA, YUSUKE
WADA, SHIGEO
Source :
Electronics & Communications in Japan; Sep2017, Vol. 100 Issue 9, p13-22, 10p
Publication Year :
2017

Abstract

SUMMARY Verification of image manipulation for various alterations is an indispensable technology to protect original images. Conventional forgery detection methods using fingerprint are useful, since the original image is not required in detection process. However, manipulated local region can't be specified. Further, type of manipulation is not identified. In this article, a novel forgery identification method based on reversible histogram shift is proposed. Our method can detect partial and overall manipulation regions and identify manipulation type. Simulation results are shown to demonstrate the effectiveness of our method using various types of manipulated database images. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19429533
Volume :
100
Issue :
9
Database :
Complementary Index
Journal :
Electronics & Communications in Japan
Publication Type :
Academic Journal
Accession number :
124659277
Full Text :
https://doi.org/10.1002/ecj.11973