메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술대회자료
저자정보
Patcharin Artameeyanant (Vongchavalitkul University)
저널정보
제어로봇시스템학회 제어로봇시스템학회 국제학술대회 논문집 ICCAS 2010
발행연도
2010.10
수록면
1,375 - 1,378 (4page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
This paper presents a method of digital image watermarking on digital audio signal that is robust against MPEG compression based on the principle of the human hearing called Psychoacoustic model. Based on the Psychoacoustic model, human hearing depends on both frequency and the power of the signal. Human ears can not separate the difference if the signal above the hearing threshold of the Psychoacoustic is varied by small amount. The Wavelet Packet Transform is chosen to transform the signal. The audio signal was decomposed using wavelet with 4 levels. A binary image is embedded into significant coefficients node (4,2) to node (4,10) selective from detail coefficient. The frequency domain and the chosen frequencies within the range of 4kHz-15kHz because it is hard for human ear to detect the difference in this range. For security, the watermark bits are randomly permuted before being embedded to the signal. Only the owner knew the key randomization which is implemented by Pseudorandom. In this experiment, 10 different audio song and 2 types of binary watermarking images of size 64x64 pixels and 32x32 pixels were tested. The results show that the normalized correlation (NC) is improved by 4.98 percent and signal-to-noise ratio (SNR) is comparable to the previous method.

목차

Abstract
1. Introduction
2. Basic Con
3. Watermark Embedding
4. Watermark Extraction
5.Experiment Result
6. Conclusion
7. Acknowledgements
8.References

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-ECN-0101-2014-569-000939421