Wavelet packet transform basis selection method for set partitioning in hierarchical trees

Journal of Electronic Imaging

Volumn 17, Issue 3, 2008, Pages

  Kassim, Ashraf A ^a   Yan, Niu ^a   Zonoobi, Dornoosh ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

BASIS SELECTION; CODING GAINS; DYADIC WAVELET; ERROR-RESILIENT; HIGH FREQUENCY HF; REGION OF INTEREST; SET PARTITIONING IN HIERARCHICAL TREE; SPIHT CODING; SUBBAND ENERGIES; TEXTURED IMAGES; TREE STRUCTURES; WAVELET PACKET TRANSFORMS;

PACKET NETWORKS;

IMAGE CODING;

EID: 70350627032     PISSN: 10179909     EISSN: 1560229X     Source Type: Journal    
DOI: 10.1117/1.2952851     Document Type: Article

References (15)

1. A. Said and W. A. Pearlman, "A new, fast, and efficient image codec based on set partitioning in hierarchical trees," IEEE Trans. Circuits Syst. Video Technol. 6, 243-250 (1996).
2. S. Cho and W. A. Pearlman, "Improved error resilience embedded video coding," Data Compression Conference'03, pp. 83-92 (2003).
3. E. Atsumi and N. Farvardin, "Lossy/lossless region-of-interest image coding on set partitioning in hierarchical trees," Int. Conf. Image Processing'98, Vol. 1, pp. 87-91 (1998).
4. A. A. Kassim and W. X. Lee, "Embedded color image coding using SPIHT with partially linked spatial orientation trees," IEEE Trans. Circuits Syst. Video Technol. 13, 203-206 (2003).
5. U. Bayazit and W. A. Pearlman, "Algorithmic modifications to SPIHT," Int. Conf. Image Processing 2001, Vol. 3, pp. 800-803 (2001).
6. K.-L. Kim and S.-W. Ra, "Performance improvement of the SPIHT coder," Signal Process. Image Commun. 19, 29-36 (2004).
7. N. Sprljan, S. Grgic, and M. Grgic, "Modified SPIHT algorithm, for wavelet packet image coding," Real-Time Imag. 11, 378-388 (2005).
8. Z. Xiong, K. Ramchandran, and M. T. Orchard, "Wavelet packet image coding using space-frequency quantization," IEEE Trans. Image Process. 7, 892-898 (1998).
9. H. D. Cho and J. B. Ra, "A rearrangement algorithm of wavelet packet coefficients for zerotree coding," IEEE Int. Conf. Image Processing, Vol. 3, pp. 556-559 (1999).
10. N. M. Rajpoot, R. G. Wilson, F. G. Meyer, and R. R. Coifman, "Adaptive wavelet packet basis selection for zerotree image coding," IEEE Trans. Image Process. 12, 1460-1472 (2003).
11. R. R. Coifman and M. V. Wickerhauser, "Entropy-based algorithms for best basis selection," IEEE Trans. Inf. Theory 38, 713-718 (1992).
12. M. Unser and T. Blu, "Mathematical properties of the JPEG2000 wavelet filters," IEEE Trans. Image Process. 12, 1080-1090 (2003).
13. M. V. Wickerhauser, Adapted Wavelet Analysis from Theory to Software, A. K. Peters, Wellesley, MA (1994).
14. C. Tawell, "Satisficing search algorithms for selecting near-best bases in adaptive tree-structured wavelet transforms," IEEE Trans. Signal Process. 44, 2423-2438 (1996).
15. A. Said, "Example of application for image compression," http:// www.cipr.rpi.edu/∼pearlman/papers/ex-spiht-ezw.pdf.