Skip to main content
Log in

Optimization Design of Biorthogonal Wavelet Filter Banks for Extending JPEG 2000 Standard Part-2

  • Published:
Journal of Signal Processing Systems Aims and scope Submit manuscript

Abstract

A generic optimization design approach of biorthogonal wavelet filter banks (BWFB) for extending the JPEG 2000 standard part-2 is presented in this paper. This approach adopts Vaidyanathan optimal coding gain criterion to design the BWFB, and adopts peak signal-to-noise ratio (PSNR) as the criterion to optimize this BWFB. A functional relation between the general BWFB and their lifting scheme is derived in the first place with respect to one free variable, so that the optimization design of the BWFB is easier and more convenient. In addition, a general image model is formulated as a first-order Markov process driven by Gaussian white noise. It is taken as an input of two-channel filter banks which satisfy perfect reconstruction (PR) condition to realize subband coding for obtaining the optimal BWFB according to the Vaidyanathan optimal coding gain criterion. Finally, a new 9/7 BWFB with rational coefficients is proposed for extending the JPEG 2000 standard part-2, with PSNR of reconstructed images only 0.20 dB lower than standard CDF 9/7 BWFB for infrared thermal image compressions.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Figure 1
Figure 2
Figure. 3
Figure 4
Figure 5
Figure 6
Figure 7

Similar content being viewed by others

References

  1. Antonini, M., Barlaud, M., & Daubechies, I. (1992). Image coding using wavelet transform. IEEE Transactions on Image Processing, 1(2), 205–220.

    Article  Google Scholar 

  2. JPEG2000 Image Coding System, Part 1 (Core), ISO/IEC Int’l. Standard 15444–1, ITU-T Rec. T.800. Int’l. Org. for Standardization, 2003.

  3. JPEG2000 Image Coding System, Part 2 (Extensions), ISO/IEC Int’l. Standard 15444–2, ITU-T Rec. T.800. Int’l. Org. for Standardization, 2004.

  4. Sweldens, W. (1996). The lifting scheme: a custom-design construction of biorthogonal wavelets. Journal Applied and Computational Harmonic Analysis, 3(2), 186–200.

    Article  MathSciNet  MATH  Google Scholar 

  5. Sweldens, W. (1997). The lifting scheme: a construction of second generation wavelets. SIAM Journal on Mathematical Analysis, 29(2), 511–546.

    Article  MathSciNet  Google Scholar 

  6. Daubechies, I., & Sweldens, W. (1998). Factoring wavelet transforms into lifting steps. Journal of Fourier Analysis and Applications, 4(3), 247–269.

    Article  MathSciNet  MATH  Google Scholar 

  7. Cohen, A., Daubechies, I., & Feauveau, J. C. (1992). Biorthogonal bases of compactly supported wavelets. Journal Communications on Pure Applied Mathematics, 45(5), 485–560.

    Article  MathSciNet  MATH  Google Scholar 

  8. Ohno, S., & Sakai, H. (1996). Optimization of filter banks using cyclostationary spectral analysis. IEEE Transactions on Signal Processing, 44(11), 2718–2725.

    Article  Google Scholar 

  9. Vaidyanathan, P. P., & Kirac, A. (1998). Results on optimal biorthogonal filter banks. IEEE Transactions Circuits and Systems-2: Analog and Digital Signal Processing, 45(8), 932–947.

    Article  MATH  Google Scholar 

  10. Tewfik, A. H., Sinha, D., & Jorgensen, P. (1992). On the optimal choice of a wavelet for signal representation. IEEE Transactions on Information Theory, 38(2), 747–765.

    Article  MATH  Google Scholar 

  11. Tay, D. B. H. (2002). Two-stage, least squares design of biorthogonal filter banks. IEE Proceedings, Vision, Image and Signal Processing, 149(6), 341–346.

  12. Moulin, P., Anitescu, M., et al. (2000). Theory of rate-distortion optimal, constrained filter banks application to IIR and FIR biorthogonal design. IEEE Transactions on Signal Processing, 48(4), 1120–1132.

    Article  Google Scholar 

  13. Liu, Z. D., Zheng, N. N., Liu, Y. H., & V. d. Wetering, H (2007). Optimization design of biorthogonal wavelets for embedded image coding. IEICE Transactions on Information and Systems, E90-D(2), 569–578.

  14. Guo, S. M., Chang, W. H., Tsai, J. S.-H., Zhuang, B. L., & Chen, L. C. (2008). JPEG 2000 wavelet filter design framework with chaos evolutionary programming. Elsevier, Signal Processing, 88(10), 2542–2553.

    MATH  Google Scholar 

  15. Jayant, N. S., & Noll, P. (1984). Digital coding of waveforms: principles and applications to speech and video. Englewood Cliffs: Prentice-Hall.

    Google Scholar 

  16. Djokovic, I., & Vaidyanathan, P. P. (1996). On optimal analysis/synthesis filters for coding gain maximization. IEEE Transactions on Signal Processing, 44(5), 1276–1279.

    Article  Google Scholar 

  17. Yang, G. A., & Zheng, N. N. (2008). A optimization algorithm for biorthogonal wavelet filter banks design. International Journal of Wavelets, Multiresolution and Information Processing, 6(1), 51–63.

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgment

This work was supported by the Chinese national natural science foundation under grants 90920301 and 51075317, and 973 project of national key basic research of China (No. 2007CB311005).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Guoan Yang.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Yang, G., Van de Wetering, H. & Zhang, S. Optimization Design of Biorthogonal Wavelet Filter Banks for Extending JPEG 2000 Standard Part-2. J Sign Process Syst 68, 247–259 (2012). https://doi.org/10.1007/s11265-011-0609-7

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11265-011-0609-7

Keywords

Navigation