A Survey on Copy Move Forgery Detection (CMFD) Technique-Reference-Cited by-同舟云学术

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A Survey on Copy Move Forgery Detection (CMFD) Technique

Published:2023-01-27 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)
language:
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Author:

R Anushree¹,B Vinay Kumar S²,M Sachin B³

Affiliation:

1. Electronics Engineering, Jain (Deemed to be University),Bengaluru,India

2. Jain (Deemed to be University),Faculty of Engineering and Technology,Department of Electronics and Communication Engineering,Bengaluru,India

3. Bangalore Institute of Technology,Department of Electronics and Communication Engineering,Bengaluru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10090461/10090462/10090884.pdf?arnumber=10090884

Reference30 articles.

1. Copy–move forgery detection through stationary wavelets and local binary pattern variance for forensic analysis in digital images

2. Copy-move forgery detection based on hybrid features

3. Copy-Move Forgery Detection Technique for Forensic Analysis in Digital Images;mahmood;Hindawi Publishing Corporation,2015

4. Copy-move forgery detection: Survey, challenges and future directions

5. CMF-iteMS: An automatic threshold selection for detection of copy-move forgery

Cited by 3 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. CNN-Keypoint Based Two-Stage Hybrid Approach for Copy-Move Forgery Detection;IEEE Access;2024

2. From Traditional to Deep: A Survey of Image Forgery Detection Techniques;2023 IEEE 3rd Applied Signal Processing Conference (ASPCON);2023-11-24

3. Image Copy-Move Forgery Detection Based on Fused Features and Density Clustering;Applied Sciences;2023-06-26

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