Paper
2 February 2006 Property study of integer wavelet transform lossless compression coding based on lifting scheme
Cheng Jun Xie, Su Yan, Yang Xiang
Author Affiliations +
Proceedings Volume 6031, ICO20: Remote Sensing and Infrared Devices and Systems; 60310V (2006) https://doi.org/10.1117/12.668033
Event: ICO20:Optical Devices and Instruments, 2005, Changchun, China
Abstract
In this paper the algorithms and its improvement of integer wavelet transform combining SPIHT and arithmetic coding in image lossless compression is mainly studied. The experimental result shows that if the order of low-pass filter vanish matrix is fixed, the improvement of compression effect is not evident when invertible integer wavelet transform is satisfied and focusing of energy property monotonic increase with transform scale. For the same wavelet bases, the order of low-pass filter vanish matrix is more important than the order of high-pass filter vanish matrix in improving the property of image compression. Integer wavelet transform lossless compression coding based on lifting scheme has no relation to the entropy of image. The effect of compression is depended on the the focuing of energy property of image transform.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Cheng Jun Xie, Su Yan, and Yang Xiang "Property study of integer wavelet transform lossless compression coding based on lifting scheme", Proc. SPIE 6031, ICO20: Remote Sensing and Infrared Devices and Systems, 60310V (2 February 2006); https://doi.org/10.1117/12.668033
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Cited by 2 scholarly publications.
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KEYWORDS
Image compression

Wavelets

Wavelet transforms

Linear filtering

JPEG2000

Computer programming

Image filtering

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