A comparison study on SVD-based features in different transforms for image splicing detection
作者： Zahra Moghaddasi , Hamid A Jalab , Rafidah Md Noor , None
DOI: 10.1109/ICCE-TW.2015.7216815
关键词:
摘要: Digital image forgery is becoming easier to perform because of the rapid developments various manipulation tools. Between techniques, splicing considered as one most prevalent technique. In this paper, a low dimensional singular value decomposition (SVD) based feature extraction method applied in steganalysis proposed an detection method. The SVD-based features are different spatial and frequency domains make comprehensive comparison between these transforms. Support vector machine used distinguish authentic spliced images. results encouraging show that accuracy 77.60% achieved for DCT transform with only 25 vector.
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