DDT-Net: Deep Detail Tracking Network for Image Tampering Detection

In the field of image forensics, image tampering detection is a critical and challenging task. Traditional methods based on manually designed feature extraction typically focus on a specific type of tampering operation, which... | Find, read and cite all the research you need on Tech Science Press

Authors

Publication Details

Journal
Computers, materials & continua/Computers, materials & continua (Print)
Published
2025-01-01
DOI
https://doi.org/10.32604/cmc.2025.061006
Citations
1
Primary Topic
Digital Media Forensic Detection
Type
article
Field-Weighted Citation Impact
1.28

Funders

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article

DDT-Net: Deep Detail Tracking Network for Image Tampering Detection

Jim Wong, Zhaoxiang Zang
1 citations
Computers, materials & continua/Computers, materials & continua (Print)
Digital Media Forensic Detection
1.28
article

DDT-Net: Deep Detail Tracking Network for Image Tampering Detection

Jim Wong, Zhaoxiang Zang
article en
1 citations

Abstract

In the field of image forensics, image tampering detection is a critical and challenging task. Traditional methods based on manually designed feature extraction typically focus on a specific type of tampering operation, which... | Find, read and cite all the research you need on Tech Science Press

Computers, materials & continua/Computers, materials & continua (Print)Vol. 83(2)
National Natural Science Foundation of China, China Three Gorges University
Openalex Percentile: Top 22%
Digital Media Forensic Detection
1.28
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DDT-Net: Deep Detail Tracking Network for Image Tampering Detection — Jim Wong, Zhaoxiang Zang · Computers, materials & continua/Computers, materials & continua (Print) (2025) | TGRS Research Map | TGRS