Stereoscopic image tamper detection and self-recovery using hierarchical detection and stereoscopic matching-Reference-Cited by-同舟云学术

Stereoscopic image tamper detection and self-recovery using hierarchical detection and stereoscopic matching

Published:2014-04-25 Issue:2 Volume:23 Page:023022
ISSN:1017-9909
Container-title:Journal of Electronic Imaging
language:en
Short-container-title:J. Electron. Imaging

Author:

Zhou Wujie¹,Jiang Gangyi²,Luo Ting³,Yu Mei³,Shao Feng³,Peng Zongju³

Affiliation:

1. Ningbo University, Faculty of Information Science and Engineering, Ningbo 315211, ChinabZhejiang University of Science and Technology, School of Information and Electronic Engineering, Hangzhou 310023, China

2. Ningbo University, Faculty of Information Science and Engineering, Ningbo 315211, ChinacNanjing University, National Key Lab of Software New Technology, Nanjing 210093, China

3. Ningbo University, Faculty of Information Science and Engineering, Ningbo 315211, China

Publisher

SPIE-Intl Soc Optical Eng

Subject

Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics

Reference26 articles.

1. Analysis of Psychological Factors for HDTV/3-D HDTV and Evaluation Method of Their Overall Impressions

2. Reduced-reference stereoscopic image quality assessment based on view and disparity zero-watermarks

3. A zero-watermark scheme with geometrical invariants using SVM and PSO against geometrical attacks for image protection

4. Methods for image authentication: a survey

5. New watermark scheme for copyright protection of the stereovision system using adaptive disparity matching algorithm

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Secure and Robust Watermarking Scheme in Frequency Domain Using Chaotic Logistic Map Encoding;Advanced Computational Methods for Knowledge Engineering;2019-12-20

2. Binocular visual characteristics based fragile watermarking scheme for tamper detection in stereoscopic images;AEU - International Journal of Electronics and Communications;2016-01

3. Reduced reference stereoscopic image quality assessment using digital watermarking;Computers & Electrical Engineering;2014-11

4. PMFS: A Perceptual Modulated Feature Similarity Metric for Stereoscopic Image Quality Assessment;IEEE Signal Processing Letters;2014-08