Identifying Individual Camera Device From RAW Images-Reference-Cited by-同舟云学术

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Identifying Individual Camera Device From RAW Images

Published:2018 Issue: Volume:6 Page:78038-78054
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Qiao Tong,Retraint Florent

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8274985/08558551.pdf?arnumber=8558551

Cited by 13 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. CSC-Net: Cross-Color Spatial Co-Occurrence Matrix Network for Detecting Synthesized Fake Images;IEEE Transactions on Cognitive and Developmental Systems;2024-02

2. Image splicing forgery detection using simplified generalized noise model;Signal Processing: Image Communication;2022-09

3. Classifying between computer generated and natural images: An empirical study from RAW to JPEG format;Journal of Visual Communication and Image Representation;2022-05

4. Source‐anchored, trace‐anchored, and general match score‐based likelihood ratios for camera device identification;Journal of Forensic Sciences;2022-02-06

5. Detecting Spliced Image Based on Simplified Statistical Model;2022 14th International Conference on Computer Research and Development (ICCRD);2022-01-07

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