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Entropy-threshold method for best basis selection

delete2001-05-01
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PRE
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B
B. Banjanin
B
Bojan Gergič
DOI:10.1016/S0262-8856(00)00093-7delete
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Abstract

Abstract

En 中文
The methods which were adapted for the best basis selection optimise the decomposition by minimising the criterion cost function. This usually does not produce optimal rate-distortion (R-D) behaviour of the complete transform coder. This paper presents an extension of the well-known entropy-based best basis selection method titled entropy-threshold best basis selection. Using the threshold method, the criterion used in the original entropy-based method is strengthened and eliminates the portions of decomposition that an not cost effective. As the experiments illustrate, this new method exhibits great improvement in both R-D performance and simplified decomposition complexity. (C) 2001 Elsevier Science B.V. All rights reserved.
Keywords:
wavelet packets
best basis
entropy cost function
decision threshold
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Image and Vision Computing cover
Image and Vision Computing
IF:
4.2
Papers:
4.1K
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