SAR Image Compression with Vector Quantization of Wavelet Trees at Low Bit Rates

被引：0

作者：

Wang Aili ^{[1
]}

Yang Mingji ^{[1
]}

机构：

[1] Harbin Univ Sci & Technol, Dept Commun Engn, Harbin, Peoples R China

来源：

2009 5TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-8 | 2009年

关键词：

image compression; wavelet transform; vector quantization; set partitioning in hierchical trees;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A novel wavelet-based vector quantization (WNQ) is presented for SAR image compression at low bit rates. Through analysis of the decomposed wavelet coefficients' statistic property, establish directional vectors based on spatial orientation tree (SOT) structure and apply LBG algorithm to train codebook and vector quantization of wavelet coefficients. For a typical SAR image, the reconstructed images coded by WVQ achieve gains 0.1dB to 1.0dB on average in PSNR and preserve superior perceptual quality compared with the coding results of set partitioning in hierarchical trees (SPIHT) algorithm at low bit rates.

引用

页码：480 / 483

页数：4

共 11 条

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