一种基于低复杂度嵌入零块编码的遥感图像压缩编码方法

吴家骥; 吴成柯

一种基于低复杂度嵌入零块编码的遥感图像压缩编码方法

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出版历程
- 收稿日期: 2003-10-09
- 修回日期: 2004-07-21
- 刊出日期: 2005-03-19

A Remote Sensing Image Compression Algorithm Based on Low-Complexity Embedded Zeroblock Coder

摘要

摘要: 该文针对遥感图像的数据特点,提出了一种新的遥感图像编码方法。它基于一种改进的小波变换嵌入零块编码算法。新算法中改进了零块编码中四叉树分裂算法(quadtree),并设计亍新的链表生成和不重要集合排序策略。通过这些方法的改进,不仅提高了图像编码性能,同时还大大提高了运算效率。实验表明该文阐述的算法具有很低的复杂度和高的压缩率,PSNR和计算速度均超过SPIHT和SPECK。在1bpp下,该文方法的PSNR比SPIHT提高了0.3dB以上,计算速度比SPIHT提高了35％。
- 遥感图像编码; 嵌入编码; 零块编码; 四叉树; 小波变换
Abstract: In this paper, a new coding approach to remote sensing images is proposed according to the statistical characteristic of remote sensing images data. The approach is based on an improved embedded, zeroblock-based, image wavelet transform coding algorithm. A modified quadtree algorithm and a new orderings strategy of List of Insignificant Sets (LIS) are proposed in new algorithm. By improving in this proposal, the performance of the embedded wavelet image coder is increased and a higher computing efficiency is obtained. The proposed algorithm exhibits a lower complexity, a more efficient compression ratio and a higher PSNR than SPIHT and SPECK. Experimental results show that the proposed method increases the PSNR by about 0.3dB over SPIHT, and beats SPIHT by 35% at the CPU time.

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参考文献(1)

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