一種基于低復(fù)雜度嵌入零塊編碼的遙感圖像壓縮編碼方法
A Remote Sensing Image Compression Algorithm Based on Low-Complexity Embedded Zeroblock Coder
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摘要: 該文針對(duì)遙感圖像的數(shù)據(jù)特點(diǎn),提出了一種新的遙感圖像編碼方法。它基于一種改進(jìn)的小波變換嵌入零塊編碼算法。新算法中改進(jìn)了零塊編碼中四叉樹分裂算法(quadtree),并設(shè)計(jì)亍新的鏈表生成和不重要集合排序策略。通過(guò)這些方法的改進(jìn),不僅提高了圖像編碼性能,同時(shí)還大大提高了運(yùn)算效率。實(shí)驗(yàn)表明該文闡述的算法具有很低的復(fù)雜度和高的壓縮率,PSNR和計(jì)算速度均超過(guò)SPIHT和SPECK。在1bpp下,該文方法的PSNR比SPIHT提高了0.3dB以上,計(jì)算速度比SPIHT提高了35％。
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關(guān)鍵詞:
- 遙感圖像編碼; 嵌入編碼; 零塊編碼; 四叉樹; 小波變換
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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