Earticle

초록

영어

Biorthogonal wavelet transform has been widely used in the fields of image denoising and image coding. It is usually realized by linear phase filters. All phase digital filter is a new type of linear phase digital filter which has been proposed in recent years and has frequency structure. On the basis of analyzing principle of biorthogonal wavelet transform and discrete cosine sequency filter (DCSF), this paper proposes a new algorithm to implement biorthogonal wavelet transform by using discrete cosine sequency filter. Simulation experiments to typical test images are conducted in MATLAB. Experimental results show that whether using the discrete cosine sequency filter or the biorthogonal wavelet transform, the results of the decomposition and reconstruction are the same. It comes to conclude that the proposed algorithm is valid.

목차

Abstract
 1. Introduction
 2. Biorthogonal Wavelet Transform
 3. Discrete Cosine Sequency Filter (DCSF)
 4. Algorithm Design of Biorthogonal Wavelet Transform Using Discrete Cosine Sequency Filter
  4.1. Filter Coefficients Solver
  4.2. Process of Input Signal through the Filter
  4.3. Example of Algorithm Process
 5. Experimental Results
 6. Conclusion
 Acknowledgements
 References

키워드

저자

• Baochen Jiang [ School of Electronic Information Engineering, Tianjin University, School of Mechanical, Electrical and Information Engineering, Shandong University ]
• Aiping Yang [ School of Electronic Information Engineering ]
• Chengyou Wang [ School of Mechanical, Electrical and Information Engineering, Shandong University ]
• Zhengxin Hou [ School of Electronic Information Engineering, Tianjin University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605