Passive forgery detection using DCT coefficient analysis in JPEG compressed images

doi:10.1117/1.JEI.25.3.033010

淡江大學機構典藏 > 工學院 > 資訊工程學系暨研究所 > 期刊論文 > Item 987654321/119178

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题名:	Passive forgery detection using DCT coefficient analysis in JPEG compressed images
作者:	Lin, Cheng-Shian;Tsay, Jyh-Jong
关键词:	Image compression;Quantization;Image quality;Visualization;Binary data;Chromium;Composites;Detection and tracking algorithms;Detector development;Image processing
日期:	2016-06
上传时间:	2020-09-23 12:10:49 (UTC+8)
摘要:	Passive forgery detection aims to detect traces of image tampering without the need for prior information. With the increasing demand for image content protection, passive detection methods able to identify image tampering areas are increasingly needed. However, most current passive approaches either work only for image-level JPEG compression detection and cannot localize region-level forgery, or suffer from high-false detection rates in localizing altered regions. This paper proposes an effective approach based on discrete cosine transform coefficient analysis for the detection and localization of altered regions of JPEG compressed images. This approach can also work with altered JPEG images resaved in JPEG compressed format with different quality factors. Experiments with various tampering methods such as copy-and-paste, image completion, and composite tampering, show that the proposed approach is able to effectively detect and localize altered areas and is not sensitive to image contents such as edges and textures.
關聯:	Journal of Electronic Imaging 25(3), 033010
DOI:	10.1117/1.JEI.25.3.033010
显示于类别:	[資訊工程學系暨研究所] 期刊論文

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