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Image Compression Transmission Algorithm Based on the Singular Value Decomposition Applied in the Wireless Multimedia Sensor Networks

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJSIP) 바로가기
  • 간행물
    International Journal of Signal Processing, Image Processing and Pattern Recognition 바로가기
  • 통권
    Vol.8 No.3 (2015.03)바로가기
  • 페이지
    pp.187-200
  • 저자
    Liu Dongdong, Liu Kai, Han Bo, Zhao Zhengping, Zhang Yan, Tan Fuxiao
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A242124

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원문정보

초록

영어
There are many shortcomings in traditional JPEG2000 image compression transmission algorithms in the wireless networks, such as, large energy consumption of resources in the network, large stress and energy consumption of the compressed image acquisition node and long transmission time, the image compression algorithm based on singular value decomposition is proposed. Block adaptive compression algorithm based on singular value decomposition is used in image compression processing, through the analysis of singular value decomposition and network energy consumption model. Meanwhile, the task of the network data processing and long-distance data transmission is assigned to different roles node to complete to balance the distribution of the network energy consumption. Finally, detailed experimental simulation have done, and the experimental results show that compared with the traditional compression algorithm (JPEG2000 image compression), the image compression algorithm based on singular value decomposition greatly alleviates the network camera key node energy consumption, and improves the speed of multimedia data transmission in wireless multimedia sensor network, and quality.

목차

Abstract
 1. Introduction
 2. Proposed Method
 3. Experiments and Analysis
 4. Conclusion
 Acknowledgements
 References

키워드

network energy consumption camera node distributed collaboration adaptive compression

저자

  • Liu Dongdong [ Fuyang Teachers College School of Computer and Information Engineering, Fuyang, Anhui Province, 236041 ]
  • Liu Kai [ Fuyang Teachers College School of Computer and Information Engineering, Fuyang, Anhui Province, 236041 ]
  • Han Bo [ Fuyang Teachers College School of Computer and Information Engineering, Fuyang, Anhui Province, 236041 ]
  • Zhao Zhengping [ Fuyang Teachers College School of Computer and Information Engineering, Fuyang, Anhui Province, 236041 ]
  • Zhang Yan [ Fuyang Teachers College School of Computer and Information Engineering, Fuyang, Anhui Province, 236041 ]
  • Tan Fuxiao [ Fuyang Teachers College School of Computer and Information Engineering, Fuyang, Anhui Province, 236041 ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJSIP) [Science & Engineering Research Support Center, Republic of Korea(IJSIP)]
  • 설립연도
    2006
  • 분야
    공학>컴퓨터학
  • 소개
    1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업

간행물

  • 간행물명
    International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 간기
    격월간
  • pISSN
    2005-4254
  • 수록기간
    2008~2016
  • 십진분류
    KDC 505 DDC 605

이 권호 내 다른 논문 / International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.8 No.3

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