Title :
Blind steganalysis based on features in fractional Fourier transform domain
Author :
Zhou, Chao-En ; Feng, Jiu-chao ; Yang, Yi-Xian
Author_Institution :
Sch. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou, China
Abstract :
Based on the good property of fractional Fourier transform (FRFT), two kinds of features of an image are extracted, i.e., the FRFT coefficients of image histogram and the histogram of image FRFT coefficients. Then, blind steganalysis is implemented to the features by using the support vector machine (SVM). The performance with respect to the two features is evaluated and compared by simulation. The results indicate that the classification performance is good, and the former is better than the latter.
Keywords :
fast Fourier transforms; feature extraction; image classification; image coding; statistical analysis; steganography; support vector machines; watermarking; FRFT; SVM; blind steganalysis; classification performance; feature extraction; fractional Fourier transform domain; image histogram; information-hiding detection system; support vector machine; Chaos; Feature extraction; Fourier transforms; Frequency domain analysis; Histograms; Steganography; Support vector machine classification; Support vector machines; Switches; Wavelet domain;
Conference_Titel :
Communications, Circuits and Systems, 2009. ICCCAS 2009. International Conference on
Conference_Location :
Milpitas, CA
Print_ISBN :
978-1-4244-4886-9
Electronic_ISBN :
978-1-4244-4888-3
DOI :
10.1109/ICCCAS.2009.5250507
