教師資料查詢 | 類別: 期刊論文 | 教師: 林承賢 CHENG SHIAN LIN (瀏覽個人網頁)

標題:Passive forgery detection using DCT coefficient analysis in JPEG compressed images
學年
學期
出版(發表)日期2016/06/01
作品名稱Passive forgery detection using DCT coefficient analysis in JPEG compressed images
作品名稱(其他語言)
著者Cheng-Shian Lin; Jyh-Jong Tsay
單位
出版者
著錄名稱、卷期、頁數Journal of Electronic Imaging 25(3), 033010
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.
關鍵字Image compression;Quantization;Image quality;Visualization;Binary data;Chromium;Composites;Detection and tracking algorithms;Detector development;Image processing
語言英文(美國)
ISSN1560-229X
期刊性質國外
收錄於SCI;
產學合作
通訊作者Lin, Cheng-shian
審稿制度
國別美國
公開徵稿
出版型式,電子版
相關連結
SDGs
Google+ 推薦功能,讓全世界都能看到您的推薦!