DocumentCode :
672644
Title :
Robust reversible watermarking scheme based on wavelet-like transform
Author :
Mohammed, Rasha Thabit ; Bee Ee Khoo
Author_Institution :
Sch. of Electr. & Electron. Eng., Univ. Sains Malaysia, Nibong Tebal, Malaysia
fYear :
2013
fDate :
8-10 Oct. 2013
Firstpage :
354
Lastpage :
359
Abstract :
Watermarking reversibility is one of the basic requirements for medical imaging, military imaging, and remote sensing applications. In these fields a slight change in the original image can lead to a significant difference in the final decision making process. However, the reversibility alone is not enough for practical applications because the hidden data must be extracted even after unintentional attacks (e.g., noise addition, JPEG compression) so a robust (i.e., semi-fragile) reversible watermarking methods became required. In this paper, we present a new robust reversible watermarking method that utilizes the Slantlet transform (SLT) to transform image blocks and modifying the SLT coefficients to embed the watermark bits. If the watermarked image is not attacked, the method is completely reversible (i.e., the watermark and the original image will be recovered correctly). After JPEG compression, the hidden data can be extracted without error. Experimental results prove that the presented scheme achieves high visual quality, complete reversibility, and better robustness in comparison with the previous methods.
Keywords :
data compression; image coding; image watermarking; wavelet transforms; JPEG compression; SL; final decision making process; image blocks transform; medical imaging; military imaging; remote sensing applications; robust reversible watermarking scheme; slantlet transform; unintentional attacks; visual quality; watermarking reversibility; wavelet-like transform; Image coding; Robustness; Transform coding; Transforms; Watermarking; Digital image watermarking; Slantlet Transform (SLT); reversible watermarking; robust watermarking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal and Image Processing Applications (ICSIPA), 2013 IEEE International Conference on
Conference_Location :
Melaka
Print_ISBN :
978-1-4799-0267-5
Type :
conf
DOI :
10.1109/ICSIPA.2013.6708032
Filename :
6708032
Link To Document :
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