Title :
Optimal Rate Allocation for Logowatermarking
Author :
Lao, Yuanwei ; Zheng, Yuan F.
Author_Institution :
Ohio State Univ., Columbus
fDate :
Sept. 16 2007-Oct. 19 2007
Abstract :
We consider the joint application of Human Vision System and rate allocation theory in logo watermarking. A new algorithm is proposed under this framework, in which the logo is multi-level decomposed, compressed and embedded into the decomposed host with the energy of the compressed logo optimally distributed across different subbands of the host. The scheme is verified to be robust against general signal attacks, and experimental comparison shows its superiority to other approaches. Moreover it is quite suitable for hardware implementations by using reversible wavelet transform.
Keywords :
image coding; watermarking; wavelet transforms; hardware implementations; human vision system; logo watermarking; optimal rate allocation; reversible wavelet transform; Application software; Computer vision; Discrete wavelet transforms; Hardware; Humans; Image coding; Machine vision; Robustness; Watermarking; Wavelet transforms; HVS; RWT; Watermark; rate allocation;
Conference_Titel :
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-1437-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2007.4379298
