Digital image forgery detection using compact multi-texture representation-Reference-Cited by-同舟云学术

Digital image forgery detection using compact multi-texture representation

Published:2017-03-29 Issue:4 Volume:32 Page:3177-3188
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Vidyadharan Divya S.¹,Thampi Sabu M.²

Affiliation:

1. Department of Computer Science and Engineering, College of Engineering-Trivandrum, LBS Centre for Science and Technology, Kerala, India

2. Indian Institute of Information Technology and Management, Kerala, India

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference25 articles.

1. Image forgery detection using multi scale entropy filter and local phase quantization;Agarwal;International Journal of Image, Graphics and Signal Processing,2015

2. Passive detection of image forgery using DCT and local binary pattern;Alahmadi;Signal, Image and Video Processing,2016

3. Dong J. and Wang W. , CASIA tampered image detection evaluation database, http://forensics.idealtest.org/, 2011

4. Combining spatial and DCT based Markov features for enhanced blind detection of image splicing;El-Alfy;Pattern Analysis and Applications,2015

5. Robust content authentication of gray and color images using lbp-dct markov-based features;El-Alfy;Multimedia Tools and Applications,2016

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