AFTLNet: An efficient adaptive forgery traces learning network for deep image inpainting localization-Reference-Cited by-同舟云学术

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AFTLNet: An efficient adaptive forgery traces learning network for deep image inpainting localization

Published:2024-08 Issue: Volume:84 Page:103825
ISSN:2214-2126
Container-title:Journal of Information Security and Applications
language:en
Short-container-title:Journal of Information Security and Applications

Author:

Ding Xiangling^ORCID,Deng Yingqian,Zhao Yulin,Zhu Wenyi

Publisher

Elsevier BV

Reference53 articles.

1. A detailed analysis of image and video forgery detection techniques;Tyagi;Vis Comput,2023

2. Image inpainting forgery detection: A review;Barglazan,2023

3. An efficient forgery detection algorithm for object removal by exemplar-based image inpainting;Liang;J Vis Commun Image Represent,2015

4. A robust forgery detection algorithm for object removal by exemplar-based image inpainting;Zhang;Multimedia Tools Appl,2018

5. Localization of diffusion-based inpainting in digital images;Li;IEEE Trans Inf Forensics Secur,2017

Cited by 1 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. Contour-assistance-based video matting localization;Multimedia Systems;2024-08-30

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