Image splicing manipulation location by multi-scale dual-channel supervision-Reference-Cited by-同舟云学术

Image splicing manipulation location by multi-scale dual-channel supervision

Published:2023-09-19 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Hu Jingyun,Xue Ru^ORCID,Teng Guofeng,Niu Shiming,Jin Danyang

Funder

major programs incubation plan

key project of the Natural Science Foundation of the Tibet Autonomous Region: image forgery detection and location based on multi semantics and attention

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-16705-y.pdf

Reference51 articles.

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2. Zampoglou M, Papadopoulos S, Kompatsiaris Y (2017) Large-scale evaluation of splicing localization algorithms for web images[J]. Multimed Tools Appl 76(4):1–34

3. Zhou P, Han X, Morariu VI, Davis LS (2018) Learning rich features for image manipulation detection. 2018 IEEE/CVF conference on computer vision and pattern recognition, Salt Lake City, UT, USA, pp 1053–1061. https://doi.org/10.1109/CVPR.2018.00116

4. Lee JC, Chang CP, Chen WK (2015) Detection of copy–move image forgery using histogram of orientated gradients[J]. Inf Sci 321:250–262

5. Huh M, Liu A, Owens A et al (2018) Fighting fake news: image splice detection via learned self-consistency[J]. Springer, Cham

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