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Multi-scale noise estimation for image splicing forgery detection
Pun C.-M.; Liu B.; Yuan X.-C.
2016-03-04
Source PublicationJournal of Visual Communication and Image Representation
ISSN10959076 10473203
Volume38Pages:195-206
Abstract

Noise discrepancies in multiple scales are utilized as indicators for image splicing forgery detection in this paper. Specifically, the test image is initially segmented into superpixels of multiple scales. In each individual scale, noise level function, which reflects the relation between noise level and brightness of each segment, is computed. Those segments not constrained by the noise level function are regarded as suspicious regions. In the final step, pixels appears in suspicious regions of each scale, after necessary morphological processing, are marked as spliced region(s). The Optimal Parameter Combination Searching (OPCS) Algorithm is proposed to determine the optimal parameters during the process. Two datasets are created for training the optimal parameters and to evaluate the proposed scheme, respectively. The experimental results show that the proposed scheme is effective, especially for the multi-objects splicing. In addition, the proposed scheme is proven to be superior to the existing state-of-the-art method.

KeywordMulti-scale Noise Estimation Noise Level Function Optimal Parameter Combination Searching (Opcs) Slic Superpixels Splicing Forgery
DOI10.1016/j.jvcir.2016.03.005
URLView the original
Indexed BySCI
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems ; Computer Science, Software Engineering
WOS IDWOS:000377149100017
PublisherACADEMIC PRESS INC ELSEVIER SCIENCE
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Citation statistics
Cited Times [WOS]:20   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorPun C.-M.
AffiliationDepartment of Computer and Information Science, University of Macau, Macau
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Pun C.-M.,Liu B.,Yuan X.-C.. Multi-scale noise estimation for image splicing forgery detection[J]. Journal of Visual Communication and Image Representation,2016,38:195-206.
APA Pun C.-M.,Liu B.,&Yuan X.-C..(2016).Multi-scale noise estimation for image splicing forgery detection.Journal of Visual Communication and Image Representation,38,195-206.
MLA Pun C.-M.,et al."Multi-scale noise estimation for image splicing forgery detection".Journal of Visual Communication and Image Representation 38(2016):195-206.
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