Title :
A new method for detection of watermarks in geometrically distorted images
Author :
Ozer, I. Burak ; Ramkumar, Mahalingam ; Akansu, Ali N.
Author_Institution :
Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
Abstract :
The goal of this study is to investigate the performance of the watermarking scheme proposed by Ramkumar and Akansu (see IEEE Trans. on Multimedia, 1999) for watermarked images distorted by geometrical attacks such as StirMark. Although the geometric distortions are not visually noticeable, the watermark cannot be detected due to the resulting high mean square error between the original and attacked images. In order to extract the watermark from distorted images, the effects of these attacks must be minimized. This work focuses on the recovery of an attacked image using a reliable distortion estimation. The performance test is studied for several images attacked by StirMark. The proposed algorithm is shown to reduce false alarm probability in detection of the watermark from about 0.005 for (for StirMarked images) to less than 10-50
Keywords :
image coding; industrial property; probability; security of data; signal detection; StirMark; attacked image recovery; false alarm probability reduction; geometrical attacks; geometrically distorted images; high mean square error; intellectual piracy protection; performance test; reliable distortion estimation; water detection method; watermark extraction; watermarked images; watermarking performance; Detectors; Mean square error methods; Performance evaluation; Protection; Protocols; Robustness; Statistical distributions; Statistics; Testing; Watermarking;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
0-7803-6293-4
DOI :
10.1109/ICASSP.2000.859215
