Abstract | ||
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In this paper, we propose a new blind watermarking scheme by embedding a digital image signature/watermark in the wavelet domain and using Independent Component Analysis (ICA) technique for blind watermark extraction. The watermark is inserted in the middle frequency sub-bands. A visual masking function is used to modify the digital signature to assure the perceptual quality of the watermarked image. Independent Component Analysis (ICA) method is employed for blind watermark extraction without requiring the original image. The presented technique has been successfully evaluated and compared with other wavelet-based blind watermarking techniques against the most prominent attacks, such as JPEG and JPEG2000 compression and quantization. |
Year | DOI | Venue |
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2002 | 10.1007/3-540-36617-2_7 | IWDW |
Keywords | Field | DocType |
watermarked image,wavelet-based blind watermarking technique,independent component analysis,blind watermark extraction,performance evaluation,digital image signature,new collusion attack,new blind watermarking scheme,middle frequency sub-bands,jpeg2000 compression,original image,digital signature,spread spectrum,digital watermark,digital watermarking,image processing,cryptanalysis,steganography,multimedia,cryptography,detectability,watermark | Steganography,Computer vision,Digital watermarking,Computer science,Image processing,Watermark,Digital image,JPEG,Independent component analysis,Artificial intelligence,Wavelet | Conference |
Volume | ISSN | ISBN |
2613 | 0302-9743 | 3-540-01217-6 |
Citations | PageRank | References |
6 | 0.65 | 13 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Viktor Wahadaniah | 1 | 7 | 1.04 |
Yong Liang Guan | 2 | 2037 | 163.66 |
Hock Chuan Chua | 3 | 57 | 4.32 |