JOURNAL ARTICLE

Lossless integer wavelet transform

Steven DewitteJan Cornelis

Year: 1997 Journal:   IEEE Signal Processing Letters Vol: 4 (6)Pages: 158-160   Publisher: Institute of Electrical and Electronics Engineers

Abstract

Signal compression can be obtained by wavelet transformation of integer input data followed by quantification and coding. As the quantification is usually lossy, the whole compression/decompression scheme is lossy too. We define a critical wavelet coefficient quantification, i.e., the coarsest quantification that allows perfect reconstruction. This is demonstrated for the Haar transform and for arbitrarily smooth wavelet transforms derived from it. The new integer wavelet transform allows implementation of multiresolution subband compression schemes, in which the decompressed data are gradually refined, retaining the option of perfect reconstruction.

Keywords:
Wavelet transform Lossless compression Lossy compression Wavelet Lifting scheme Wavelet packet decomposition Second-generation wavelet transform Data compression Stationary wavelet transform Discrete wavelet transform Algorithm Mathematics Computer science Harmonic wavelet transform Artificial intelligence

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79
Cited By
8.35
FWCI (Field Weighted Citation Impact)
6
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0.98
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Citation History

Topics

Image and Signal Denoising Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Mathematical Analysis and Transform Methods
Physical Sciences →  Mathematics →  Applied Mathematics
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