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논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2006.7
- 수록면
- 479 - 482 (4page)
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초록· 키워드
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In this paper, we propose an adaptive image wavelet-based watermarking with SOM(Self-organizing Map) neural networks, in which a pseudo-random sequence is embed into wavelet LL2 sub-band. The LL2 area is not suitable for embedding because of severe visual degradation. We overcome the degradation problem by embedding watermarks into visually insensitive locations using HVS and adapting suitable watermark strength and length using SOM.
Experimental results show that our proposed method has good perceptual invisibility and robustness for various attacks. About two different watermark, we can know that the binary watermark sequence has more invisible and robust than a sequences of real random number with a normal distribution N(0, 1) in comparison about different watermark.
Experimental results show that our proposed method has good perceptual invisibility and robustness for various attacks. About two different watermark, we can know that the binary watermark sequence has more invisible and robust than a sequences of real random number with a normal distribution N(0, 1) in comparison about different watermark.
목차
ABSTRACT
1. INTRODUCTION
2. WATERMARK EMBEDDING PROCESS
3. WATERMARK EXTRACTION PROCESS
3. EXPERIMENTAL RESULTS
4. CONCLUSIONS
5. REFERENCES
참고문헌 (0)
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UCI(KEPA) : I410-ECN-0101-2012-004-004247522