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| A Remote Sensing Image Compression Algorithm Based on Low-Complexity Embedded Zeroblock Coder |
| Wu Jia-ji; Wu Cheng-ke |
| National Key Laboratory on ISN Xidian University Xi’an 110071 China |
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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 ordering’s 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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Received: 09 October 2003
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2005, Vol. 27 
