Article

Image Splicing Detection Using Color Edge Inconsistency

Authors:

Zhen Fang,

Shuozhong Wang,

Xinpeng ZhangAuthors Info & Claims

MINES '10: Proceedings of the 2010 International Conference on Multimedia Information Networking and Security

Pages 923 - 926

https://doi.org/10.1109/MINES.2010.196

Published: 04 November 2010 Publication History

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Abstract

We propose a passive image splicing detection method based on consistency check of color distribution in the neighborhood of edge pixels. For a given image, we classify edges into different categories and extract shadow-shading-specular invariant edges as the candidate of splicing boundaries. Hue histogram entropy is then computed to capture abnormality of color distribution at these boundaries. Inconsistency of color distribution among different edge pixel neighborhood is used to localize the splicing boundary. Experiments show effectiveness of the method.

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Xu YZheng JFang AIrfan M(2023)Feature enhancement and supervised contrastive learning for image splicing forgery detectionDigital Signal Processing10.1016/j.dsp.2023.104005136:COnline publication date: 1-May-2023
https://dl.acm.org/doi/10.1016/j.dsp.2023.104005
Xu YZheng JShao C(2023)Fusing Multi-scale Attention and Transformer for Detection and Localization of Image Splicing ForgeryAdvances in Brain Inspired Cognitive Systems10.1007/978-981-97-1417-9_31(335-344)Online publication date: 5-Aug-2023
https://dl.acm.org/doi/10.1007/978-981-97-1417-9_31
Wu YAbd-Almageed WNatarajan PLiu QLienhart RWang HChen SBoll SChen PFriedland GLi JYan S(2017)Deep Matching and Validation NetworkProceedings of the 25th ACM international conference on Multimedia10.1145/3123266.3123411(1480-1502)Online publication date: 23-Oct-2017
https://dl.acm.org/doi/10.1145/3123266.3123411

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Published In

MINES '10: Proceedings of the 2010 International Conference on Multimedia Information Networking and Security

November 2010

976 pages

ISBN:9780769542584

Publisher

IEEE Computer Society

United States

Publication History

Published: 04 November 2010

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Xu YZheng JFang AIrfan M(2023)Feature enhancement and supervised contrastive learning for image splicing forgery detectionDigital Signal Processing10.1016/j.dsp.2023.104005136:COnline publication date: 1-May-2023
https://dl.acm.org/doi/10.1016/j.dsp.2023.104005
Xu YZheng JShao C(2023)Fusing Multi-scale Attention and Transformer for Detection and Localization of Image Splicing ForgeryAdvances in Brain Inspired Cognitive Systems10.1007/978-981-97-1417-9_31(335-344)Online publication date: 5-Aug-2023
https://dl.acm.org/doi/10.1007/978-981-97-1417-9_31
Wu YAbd-Almageed WNatarajan PLiu QLienhart RWang HChen SBoll SChen PFriedland GLi JYan S(2017)Deep Matching and Validation NetworkProceedings of the 25th ACM international conference on Multimedia10.1145/3123266.3123411(1480-1502)Online publication date: 23-Oct-2017
https://dl.acm.org/doi/10.1145/3123266.3123411

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Efficient edge-preserving algorithm for color contrast enhancement with application to color image segmentation

Content-based retrieval of logo and trademarks in unconstrained color image databases using Color Edge Gradient Co-occurrence Histograms

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