Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

Lifting construction based on Bernstein bases and application in image compression

Lifting construction based on Bernstein bases and application in image compression

For access to this article, please select a purchase option:

Buy article PDF
£12.50
(plus tax if applicable)
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IET Image Processing — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

A novel framework for the construction of biorthogonal wavelets based on Bernstein bases with an arbitrary order of vanishing moments using the lifting scheme is proposed. We explore the field of application of it in still image compression. The major contributions of this work can be summarised highlighting the following three aspects. First and foremost, we propose an algorithm that is used to increase the vanishing moments of wavelets from biorthogonal symmetrical wavelets based on Bernstein bases by the lifting scheme. An iterative algorithm for designing the lifting scheme is proposed, which is based on the relationship between the vanishing moments of the wavelet and multiples of zeros of z = 1. The authors provide formulas of the lifting scheme for the construction of wavelets with an arbitrary order of vanishing moments. In addition, the lifting scheme is the shortest among the lifting schemes with the same order of vanishing moments increasing and, more importantly, it is the only one possible. Second, to guarantee the symmetry of the lifting (dual lifting) biorthogonal filters, explicit formulas of the lifting scheme with an arbitrary order of vanishing moments are introduced, which simultaneously have the above two characteristics. With our method, a new family of the parameterisation with symmetry of filters and the related library of biorthogonal symmetric waveforms are presented. Finally, we present a new transform rule aiming at image compression and its corresponding algorithm. Applying the parameterisation of filters constructed in this paper, by adjusting their coefficients, we can realise the transform rule and obtain a new transform. We explore the possibility of applying the presented transforms in image compression at different compression rates, and the results of the experiments prove to be comparable with the CDF9/7 and several state-of-the-art wavelet transforms.

References

    1. 1)
      • Chrysafis, C., Ortega, A.: `Efficient context-based entropy coding for lossy wavelet image compression', Proc. IEEE Data Compression Conf., 1997, p. 241–250.
    2. 2)
    3. 3)
      • K. Peng , J.C. Kieffer . Embedded image compression based on wavelet pixel classification and sorting. IEEE Trans. Image Process. , 8 , 1011 - 1017
    4. 4)
      • A.Z. Averbuch , A.B. Pevnyi , V.A. Zheludev . Butterworth wavelet transforms derived from discrete interpolatory splines: recursive implementation. Signal Process. , 2363 - 2382
    5. 5)
    6. 6)
    7. 7)
    8. 8)
      • I. Daubechies . (1992) Ten lectures on wavelets.
    9. 9)
      • M. Vetterli , C. Herley . Wavelets and filter banks: theory and design. IEEE Trans. Acoust., Speech, Signal Process. , 2207 - 2232
    10. 10)
      • A.Z. Averbuch , A.B. Pevnyi , V.A. Zheludev . Biorthogonal butterworth wavelets derived from discrete interpolatory splines. IEEE Trans. Signal Process. , 11 , 2682 - 2692
    11. 11)
      • D.L. Donoho . (1992) Interpolating wavelet transform.
    12. 12)
    13. 13)
    14. 14)
      • X.Y. Yang , B. Li , X.D. Zhang , R. Yang . The regularity analysis of multivariate refinable functions from generalized bernstein bases and application in remote sensing image compression. Int. J. Comput. Math.
    15. 15)
      • C.J. Tu , T.D. Tran . Context-based entropy coding of block transform coefficients for image compression. IEEE Trans. Image Process. , 11 , 1271 - 1283
    16. 16)
      • W. Sweldens , A.F. Laine , M. Unser . (1995) The lifting scheme: a new philosophy in biorthogonal wavelet constructions, Wavelet applications in signal and image processing III.
    17. 17)
    18. 18)
      • X.Y. Yang . Research on transsformation aiming at image compression.
    19. 19)
    20. 20)
      • A. Cohen , I. Daubechies , J.C. Feauveau . Biorthogonal bases of compactly supported wavelets [J]. Commun. Pure Appl. Math. , 485 - 560
    21. 21)
    22. 22)
    23. 23)
      • P.L. Shui , Z. Bao . M-band biorthogonal interpolating wavelets via lifting scheme. IEEE Trans. Signal Process. , 9 , 2500 - 2512
    24. 24)
      • A.B. Pevnyi , V.A. Zheludev . Construction of wavelet analysis in the space of discrete splines using Zak transform. J. Fourier Anal. Appl. , 1 , 59 - 83
    25. 25)
      • Z. Liu , N. Zheng . Parametrization construction of integer wavelete transforms for embedded image coding. Signal Image Video Process. , 1 , 63 - 76
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-ipr.2008.0097
Loading

Related content

content/journals/10.1049/iet-ipr.2008.0097
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address