Image forgery localization based on fully convolutional network with noise feature
Image forgery localization based on fully convolutional network with noise feature
About this item
Full title
Author / Creator
Liu, Qiuxu , Li, Hongjiao and Liu, Zheng
Publisher
New York: Springer US
Journal title
Language
English
Formats
Publication information
Publisher
New York: Springer US
Subjects
More information
Scope and Contents
Contents
To detect the maliciously tampered region in digital images, this paper proposes an image forgery localization method based on a fully convolutional network (FCN). In the pre-processing phase of the network, noise features are used to adequately expose the subtle changes in the image caused by manipulation operations, thus enhancing the generalizat...
Alternative Titles
Full title
Image forgery localization based on fully convolutional network with noise feature
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2660203521
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2660203521
Other Identifiers
ISSN
1380-7501
E-ISSN
1573-7721
DOI
10.1007/s11042-022-12758-7
