Improving vector quantization of satellite images through theapplication of bi-orthogonal wavelets
Ho, Anthony Tung-Shuen, Yu, Tao and Tam, Siu-Chung (1999) Improving vector quantization of satellite images through theapplication of bi-orthogonal wavelets In: IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293).
In image coding applications, vector quantization (VQ) has widely been accepted as an effective compression method for digital images. However, its effectiveness depends greatly on the matching of the VQ elements with the image data values. Prior to the VQ process, orthogonal transforms such as a DCT or FFT are often used to convert an image in the spatial domain to transform coefficients in the frequency domain. In this paper, instead of orthogonal transform coefficients, bi-orthogonal wavelet filters are used to transform a satellite image to the scale-frequency domain.
The wavelet coefficients are vector quantized and their statistical features are analyzed in details such as computational complexity and performance efficiency. Some examples will be shown in the presentation to illustrate the advantage of using bi-orthogonal wavelets that can help to improve the matching of VQ elements to the image data values. Through matching the image values, it can be shown that fewer VQ elements would be required to represent the image while maintaining the image quality, Improving the VQ statistical features will in turn increase the compression ratios of image compression of satellite images
|Item Type:||Conference or Workshop Item (UNSPECIFIED)|
|Additional Information:||In Proceedings of the IEEE 1999 International Geoscience and Remote Sensing Symposium, 1999. IGARSS '99, Vol. 2 , pp. 1171-1173.©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. This article was published when Anthony T. S. Ho was at Nanyang Technological University, Singapore.|
|Divisions:||Faculty of Engineering and Physical Sciences > Computing Science|
|Depositing User:||Mr Adam Field|
|Date Deposited:||27 May 2010 14:45|
|Last Modified:||23 Sep 2013 18:35|
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