Detecting Image Splicing Using Merged Features in Chroma Space
Joint Authors
Xu, Bo
Liu, Guangjie
Dai, Yuewei
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-16
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Image splicing is an image editing method to copy a part of an image and paste it onto another image, and it is commonly followed by postprocessing such as local/global blurring, compression, and resizing.
To detect this kind of forgery, the image rich models, a feature set successfully used in the steganalysis is evaluated on the splicing image dataset at first, and the dominant submodel is selected as the first kind of feature.
The selected feature and the DCT Markov features are used together to detect splicing forgery in the chroma channel, which is convinced effective in splicing detection.
The experimental results indicate that the proposed method can detect splicing forgeries with lower error rate compared to the previous literature.
American Psychological Association (APA)
Xu, Bo& Liu, Guangjie& Dai, Yuewei. 2014. Detecting Image Splicing Using Merged Features in Chroma Space. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1048954
Modern Language Association (MLA)
Xu, Bo…[et al.]. Detecting Image Splicing Using Merged Features in Chroma Space. The Scientific World Journal No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1048954
American Medical Association (AMA)
Xu, Bo& Liu, Guangjie& Dai, Yuewei. Detecting Image Splicing Using Merged Features in Chroma Space. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1048954
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1048954