Differentiating Between Images Using Wavelet-Based Transforms: A Comparative Study
Küçük Resim Yok
Tarih
2011
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee-Inst Electrical Electronics Engineers Inc
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
We propose statistical image models for wavelet-based transforms, investigate their use, and compare their relative merits within the context of digital image forensics. We consider the problems of 1) differentiating computer graphics images from photographic images, 2) source camera and source scanner identification, and 3) source artist identification from digital painting samples. The features obtained from ridgelet and contourlet transform-based image models almost always perform better than the features obtained from wavelet-based image models for the problems at hand. We outline properties of efficient image representation, relate these properties to wavelet-based transforms, and discuss the experimental results in relation to the model properties.
Açıklama
Anahtar Kelimeler
Classification; contourlet transform; digital image forensics; feature selection; ridgelet transform (RIT); source identification; support vector machines (SVMs); wavelet transform
Kaynak
Ieee Transactions On Information Forensics And Security
WoS Q Değeri
Q1
Scopus Q Değeri
Cilt
6
Sayı
4
