Title :
Blind Image Watermark Analysis using DWT and Non-Negative Matrix Factorization
Author :
Sun, Wei ; Lu, Wei
Author_Institution :
Sch. of Software, Sun Yat-sen Univ., Guangzhou
Abstract :
This paper proposed a blind digital image watermark analysis algorithm, which is to analyze watermarks in host images without any prior-watermarking embedding and detection information. In the proposed algorithm, DWT is firstly used to decompose images into detail subbands, and noise visibility function is used to enhance the detail subbands, then non-negative matrix factorization (NMF) is used to reveal the intrinsic features in host images. Support vector machines (SVMs) are finally used to classify these characteristics. Numerical experimental results show that the proposed scheme describes the intrinsic statistical characteristics and the proposed watermark analysis is effective.
Keywords :
discrete wavelet transforms; image classification; image coding; statistical analysis; support vector machines; watermarking; blind image watermark analysis; characteristics classification; discrete wavelet transform; intrinsic statistical characteristics; noise visibility function; nonnegative matrix factorization; support vector machines; Algorithm design and analysis; Discrete wavelet transforms; Frequency domain analysis; Image analysis; Information analysis; Steganography; Sun; Support vector machine classification; Support vector machines; Watermarking;
Conference_Titel :
Pattern Recognition, 2008. CCPR '08. Chinese Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2316-3
DOI :
10.1109/CCPR.2008.71