Title :
Grayscale image digital watermarking technology based on wavelet analysis
Author :
Qing Liu ; Jun Ying
Author_Institution :
Sch. of Phys. & Inf. Sci., Tianshui Normal Univ., Tianshui, China
Abstract :
Aim at the grayscale image watermarking embedding and detection, on the basis of introduction of digital watermarking principle and wavelet multiresolution analysis, adaptive blind grayscale image watermarking algorithm based on wavelet analysis is put forward. Firstly, the embedded watermarking signal is processed by spread spectrum technology, secondly, the location of the embedded watermarking and strength is automatically adjust according to the characteristics of the original image, and watermarking is adaptively added to the grayscale images, finally, watermarking signal is blindly extracted without the information of the original image. Experimental results show that the proposed algorithm enhances the anti- attack capability and the hidden nature of the image, improve the security of the watermarking detection, and has higher robustness to random noise attack, cutting and JPEG compression.
Keywords :
feature extraction; image resolution; image watermarking; wavelet transforms; JPEG compression robustness; adaptive blind grayscale image watermarking algorithm; antiattack capability; cutting robustness; embedded watermarking signal; grayscale image digital watermarking technology; grayscale image watermarking detection; grayscale image watermarking embedding; random noise attack robustness; spread spectrum technology; watermarking signal extraction; wavelet multiresolution analysis; Cryptography; Discrete wavelet transforms; Image resolution; Robustness; Transform coding; Watermarking; Grayscale image; spread spectrum technology; watermarking embedding and detection; wavele analysis;
Conference_Titel :
Electrical & Electronics Engineering (EEESYM), 2012 IEEE Symposium on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4673-2363-5
DOI :
10.1109/EEESym.2012.6258734