Estimation of color modification in digital images by CFA pattern change

被引：33

作者：

Choi, Chang-Hee ^{[1
]}

Lee, Hae-Yeoun ^{[2
]}

Lee, Heung-Kyu ^{[1
,3
]}

机构：

[1] Korea Adv Inst Sci & Technol, Dept Comp Sci, Taejon 305701, South Korea

[2] Kumoh Natl Inst Technol, Dept Comp Software Engn, Gumi, Gyeongbuk, South Korea

[3] Korea Adv Inst Sci & Technol, Div Web Sci & Technol, Taejon 305701, South Korea

来源：

FORENSIC SCIENCE INTERNATIONAL | 2013年 / 226卷 / 1-3期

基金：

新加坡国家研究基金会;

关键词：

Digital image forensics; Digital camera forensics; Hue; Color modification; Color filter array; DEMOSAICKING; MODELS;

D O I：

10.1016/j.forsciint.2012.12.014

中图分类号：

DF [法律]; D9 [法律]; R [医药、卫生];

学科分类号：

0301 ; 10 ;

摘要：

Extensive studies have been carried out for detecting image forgery such as copy-move, re-sampling, blurring, and contrast enhancement. Although color modification is a common forgery technique, there is no reported forensic method for detecting this type of manipulation. In this paper, we propose a novel algorithm for estimating color modification in images acquired from digital cameras when the images are modified. Most commercial digital cameras are equipped with a color filter array (CFA) for acquiring the color information of each pixel. As a result, the images acquired from such digital cameras include a trace from the CFA pattern. This pattern is composed of the basic red green blue (RGB) colors, and it is changed when color modification is carried out on the image. We designed an advanced intermediate value counting method for measuring the change in the CFA pattern and estimating the extent of color modification. The proposed method is verified experimentally by using 10,366 test images. The results confirmed the ability of the proposed method to estimate color modification with high accuracy. (C) 2012 Elsevier Ireland Ltd. All rights reserved.

引用

页码：94 / 105

页数：12

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