Entropy-threshold method for best basis selection

Image and Vision Computing

Volumn 19, Issue 7, 2001, Pages 477-484

  Banjanin, B ^a   Gergic B ^a   Planinsic P ^a   Cucej Z ^a  

^a UNIVERSITY OF MARIBOR   (Slovenia)

Author keywords

Best basis; Decision threshold; Entropy cost function; Wavelet packets

Indexed keywords

COMPUTATIONAL COMPLEXITY; DECISION THEORY; IMAGE ANALYSIS; IMAGE QUALITY; MATHEMATICAL TRANSFORMATIONS; WAVELET TRANSFORMS;

ENTROPY-THRESHOLD METHOD;

IMAGE CODING;

EID: 0347608687     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0262-8856(00)00093-7     Document Type: Article

References (12)

1. M. Antonini, M. Barlaud, P. Mathieu, I. Daubechies, Image coding using wavelet transform, IEEE Trans. Image Process. 1 (2) (1992) 205-220.
2. J.N. Bradley, C.M. Brislawn, T. Hopper, The FBI wavelet/scalar quantization fingerprint image compression standard, Technical Report LA-UR-94-1409, Proceedings of the National Media Lab Conference on Solid-State Memory, Pasadena, CA, May 23-25, 1994.
3. R.R. Coifman, Y. Meyer, S. Quake, V. Wickerhauser, Signal processing and compression with wave packets, Numerical Algorithms Research Group, New Haven, CT, Yale University, 1990.
4. R.R. Coifman, M.V. Wickerhauser, Entropy-based algorithms for best basis selection, IEEE Trans. Inform. Theory 38 (2) (1992) 713-718.
5. I. Daubechies, Ten Lectures on Wavelets, SIAM, Philadelphia, PA, 1992.
6. P. Filip, An efficient method for image compression in the wavelet transform domain, Proceedings of the 38th SPIE International Symposium on Optics, Imaging and Instrumentation, San Diego, CA, 1993, pp. 11-16.
7. S.G. Mallat, A theory for multiresolution signal decomposition: the wavelet representation, IEEE Trans. Pattern Anal. Mach. Intell. 11 (7) (1989) 674-693.
8. S.G. Mallat, Multifrequency channel decompositons of images and wavelet models, IEEE Trans. Acoust. Speech Signal Process. 37 (12) (1989) 2091-2110.
9. K. Ramchandran, M. Vetterli, Best wavelet packet bases in a rate-distortion sense, IEEE Trans. Image Process. 2 (2) (1993) 160-175.
10. K. Ramchandran, M. Vetterli, C. Herley, Wavelets, subband coding, and best bases, Proc. IEEE Spl Issue Wavelets 84 (4) (1996) 541-560.
11. M.V. Wickerhauser, Adapted Wavelet Analysis from Theory to Software, A.K. Peters, Wellesley, 1994.
12. G.W. Wornell, Wavelet-based representations for the 1/f family of fractal processes, Proc. IEEE 81 (10) (1993) 1428-1450.