Image-splicing forgery detection based on local binary patterns of DCT coefficients-Reference-Cited by-同舟云学术

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Image-splicing forgery detection based on local binary patterns of DCT coefficients

Published:2013-02-26 Issue:14 Volume:8 Page:2386-2395
ISSN:1939-0114
Container-title:Security and Communication Networks
language:en
Short-container-title:Security Comm. Networks

Author:

Zhang Yujin¹,Zhao Chenglin²,Pi Yiming³,Li Shenghong¹,Wang Shilin⁴

Affiliation:

1. Department of Electronic Engineering; Shanghai Jiao Tong University; Shanghai China

2. School of Information and Communication Engineering; Beijing University of Posts and Telecommunications; Beijing China

3. School of Electronic Engineering; University of Electronic Science and Technology of China; Chengdu China

4. School of Information Security Engineering; Shanghai Jiao Tong University; Shanghai China

Publisher

Wiley

Subject

Computer Networks and Communications,Information Systems

Reference22 articles.

1. Asymptotically optimum universal watermark embedding and detection in the high-SNR regime;Comesaña;IEEE Transactions on Information Theory,2010

2. A new approach for optimal multiple watermarks injection;Feng;IEEE Signal Processing Letters,2011

3. Robust watermarking using fractional wavelet packet transform;Bhatnagar;IET Image Processing,2012

4. Lightweight detection of additive watermarking in the DWT-domain;Kwitt;IEEE Transactions on Image Processing,2011

5. A survey of image forgery detection;Farid;IEEE Signal Processing Magazine,2009

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1. Detecting image manipulation with ELA-CNN integration: a powerful framework for authenticity verification;PeerJ Computer Science;2024-08-07

2. DWT and LBP hybrid feature based deep learning technique for image splicing forgery detection;Soft Computing;2024-07-18

3. Image splicing forgery detection: A review;Multimedia Tools and Applications;2024-03-16

4. Image Splicing Detection Using Retinex Based Contrast Enhancement and Deep Learning;2023 International Conference on Advanced Computing & Communication Technologies (ICACCTech);2023-12-23

5. Localize the Copy-Move Forged Region of an Image Using Improved SIFT;SN Computer Science;2023-12-07

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