Detection and localization of image forgeries using improved mask regional convolutional neural network

Detection and localization of image forgeries using improved mask regional convolutional neural network

The research on forgery detection and localization is significant in digital forensics and has attracted increasing attention recently. Traditional methods mostly use handcrafted or shallow-learning based features, but they have limited description ability and heavy computational costs. Recently, de...

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Bibliographic Details
Main Authors: Xinyi Wang, He Wang, Shaozhang Niu, Jiwei Zhang
Format: Article
Language:English
Published: AIMS Press 2019-05-01
Series:Mathematical Biosciences and Engineering
Subjects:
image forensics
copy-move forgery
splicing forgery
mask r-cnn
sobel filter
edge detection
Online Access:https://www.aimspress.com/article/10.3934/mbe.2019229?viewType=HTML

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https://www.aimspress.com/article/10.3934/mbe.2019229?viewType=HTML

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