Detection and Identification of Image Manipulation Based on Reversible Histogram Shift

被引：1
|
作者：
Obara, Yuki [1 ]
Niwa, Yusuke [1 ]
Wada, Shigeo [1 ]
机构：
[1] Tokyo Denki Univ, Tokyo, Japan
来源：
ELECTRONICS AND COMMUNICATIONS IN JAPAN | 2017年 / 100卷 / 09期
关键词：
image manipulation detection; manipuplation identification; histrogram shift; authenticity; FORENSICS;
D O I：
10.1002/ecj.11973
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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. (C) 2017 Wiley Periodicals, Inc.
引用
收藏
页码：13 / 22
页数：10
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