A novel hybrid bi-orthogonal wavelets/ADPCM algorithm for very lowbit rate satellite image compression
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Yu, Tao, Ho, Anthony Tung-Shuen and Tam, Siu-Chung (1999) A novel hybrid bi-orthogonal wavelets/ADPCM algorithm for very lowbit rate satellite image compression In: IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293).
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Abstract
The authors present an overview of remote sensing image compression using wavelet transforms. They begin by describing the wavelet properties that are most important for image compression. In particular, they present a method to construct bi-orthogonal wavelets and their finite impulse response (FIR) filter banks. All of these FIR filter banks all have linear phase characteristics and the signal can be reconstructed exactly. Next, they expound on a novel hybrid scheme that uses bi-orthogonal wavelets and the adaptive differential pulse code modulation (ADPCM) algorithm for very low bit-rate satellite image compression.
Complicated SPOT images of city scenes that contain many high frequency details, such as building structures and roads, are used in this investigation. Using their hybrid wavelet/ADPCM compression algorithm, the data integrity of the satellite image was maintained with a peak signal-to-noise ratio (PSNR) of approximately 26 dB while achieving a compression ratio of 150:1.
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
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| Additional Information: | <i>Proceedings of the 1999 IEEE International Geoscience and Remote Sensing Symposium, 1999</I>, <i>Volume 4, pp. 2051 - 2053</i>, <b>© 1999 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.</b>This article was published when Anthony T. S. Ho was at Nanyang Technological University, Singapore. |
| Divisions: | Faculty of Engineering and Physical Sciences > Computing Science |
| ID Code: | 1919 |
| Deposited By: | Mr Adam Field |
| Deposited On: | 27 May 2010 15:46 |
| Last Modified: | 26 Sep 2012 14:37 |
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