Optimization and implementation of the integer wavelet transform for image coding

This paper deals with the design and implementation of an image transform coding algorithm based on the integer wavelet transform (IWT). First of all, criteria are proposed for the selection of optimal factorizations of the wavelet filter polyphase matrix to be employed within the lifting scheme. Th...

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Bibliographic Details
Published in:IEEE transactions on image processing 2002-06, Vol.11 (6), p.596-604
Main Authors: Grangetto, M., Magli, E., Martina, M., Olmo, G.
Format: Article
Language:English
Subjects:
Algorithms
Applied sciences
Artificial intelligence
Compressing
Compression algorithms
Computer science
control theory
systems
Discrete wavelet transforms
Exact sciences and technology
Filters
Hoisting
Image coding
Image processing
Information, signal and communications theory
Integers
Optimization
Pattern recognition. Digital image processing. Computational geometry
Performance loss
PSNR
Rate-distortion
Remote sensing
Signal processing
Stemming
Telecommunications and information theory
Transform coding
Wavelet transforms
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Summary:This paper deals with the design and implementation of an image transform coding algorithm based on the integer wavelet transform (IWT). First of all, criteria are proposed for the selection of optimal factorizations of the wavelet filter polyphase matrix to be employed within the lifting scheme. The obtained results lead to the IWT implementations with very satisfactory lossless and lossy compression performance. Then, the effects of finite precision representation of the lifting coefficients on the compression performance are analyzed, showing that, in most cases, a very small number of bits can be employed for the mantissa keeping the performance degradation very limited. Stemming from these results, a VLSI architecture is proposed for the IWT implementation, capable of achieving very high frame rates with moderate gate complexity.
ISSN:1057-7149
1941-0042
DOI:10.1109/TIP.2002.1014991