Title :
Detecting spread spectrum watermarks using natural scene statistics
Author :
Seshadrinathan, Kalpana ; Sheikh, Hamid Rahim ; Bovik, Alan C.
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
Abstract :
This paper presents novel techniques for detecting watermarks in images in a known-cover attack framework using natural scene models. Specifically, we consider a class of watermarking algorithms, popularly known as spread spectrum-based techniques. We attempt to classify images as either watermarked or distorted by common signal processing operations like compression, additive noise etc. The basic idea is that the statistical distortion introduced by spread spectrum watermarking is very different from that introduced by other common distortions. Our results are very promising and indicate that this statistical framework is effective in the steganalysis of spread spectrum watermarks.
Keywords :
image coding; statistical analysis; watermarking; known-cover attack framework; natural scene statistics; spread spectrum watermarks detection; statistical distortion; steganalysis; Additive noise; Image coding; Layout; Signal processing algorithms; Spread spectrum communication; Statistics; Testing; Transform coding; Watermarking; Wavelet coefficients;
Conference_Titel :
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Print_ISBN :
0-7803-9134-9
DOI :
10.1109/ICIP.2005.1530253