A multiresolution nonrectangular wavelet representation for two-dimensional signals
Date
1993
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Abstract
In this paper, a new multiresolution wavelet representation for two-dimensional signals is described. This wavelet representation is based on a nonrectangular decomposition of the frequency domain. The decomposition can be implemented by a digital filter bank. The application of the new representation to the coding of quincunx and rectangularly sampled images is considered and simulation examples are presented.
Source Title
Signal Processing
Publisher
Elsevier
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Keywords
Image coding, Subband decomposition, Wavelets, Frequency domain analysis, Image analysis, Image coding, Image processing, Mathematical models, Mathematical transformations, Sampling, Signal encoding, Signal filtering and prediction, Digital filter bank, Multiresolution nonrectangular wavelet representation, Quincunx coding, Subband decomposition, Two dimensional signals, Wavelets, Signal processing
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Language
English