@inproceedings{7de69571cc9e4a998e858b7bdf5c425f,
title = "Detection of image splicing based on Hilbert-Huang transform and moments of characteristic functions with wavelet decomposition",
abstract = "Image splicing is a commonly used technique in image tampering. This paper presents a novel approach to passive detection of image splicing. In the proposed scheme, the image splicing detection problem is tackled as a two-class classification problem under the pattern recognition framework. Considering the high non-linearity and non-stationarity nature of image splicing operation, a recently developed Hilbert-Huang transform (HHT) is utilized to generate features for classification. Furthermore, a well established statistical natural image model based on moments of characteristic functions with wavelet decomposition is employed to distinguish the spliced images from the authentic images. We use support vector machine (SVM) as the classifier. The initial experimental results demonstrate that the proposed scheme outperforms the prior arts.",
keywords = "Characteristic functions, Hilbert-Huang transform (HHT), Image splicing, Support vector machine (SVM)",
author = "Dongdong Fu and Shi, {Yun Q.} and Wei Su",
year = "2006",
doi = "10.1007/11922841_15",
language = "English (US)",
isbn = "3540488251",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "177--187",
booktitle = "Digital Watermarking - 5th International Workshop, IWDW 2006, Proceedings",
address = "Germany",
note = "5th International Workshop on Digital Watermarking, IWDW 2006 ; Conference date: 08-11-2006 Through 10-11-2006",
}