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Compression of remote sensing image based on Listless Zerotree Coding and DPCM (EI CONFERENCE)

文献类型：会议论文

作者Chen S.-L. ; Huang L.-Q.
出版日期2006
会议名称ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005
会议地点Changchun, China
关键词The data quantity of remote sensing image is very large. Furthermore the lowest frequency subband contains the main energy of original image and reflects the coarse of original image after remote sensing image is transformed by wavelet so it is very important to the reconstructed image. Therefore a hybrid image compression method based on Listless Zerotree Coding (LZC) and DPCM is presented namely the lowest frequency subband is compressed by DPCM and others are compressed by LZC. LZC is a kind of zerotree coding algorithm for hardware implementation which is based on SPIHT and substitutes two significant bit maps for three lists in SPIHT algorithm. Thereby LZC significantly reduces the memory requirement and complexity during encoding and decoding procedure. But LZC doesn't recognize the significance of grandchild sets so the PSNR values of LZC are lower than SPIHT's and the compression speed drops. It is improved by adding a significant bit map that recognizes the significance of grandchild sets. A comparison reveals that the PSNR results of the hybrid compression method are 2 dB higher than those of LZC and the compression speed is also improved.
收录类别EI
源URL[http://ir.ciomp.ac.cn/handle/181722/33685]  
专题长春光学精密机械与物理研究所_中科院长春光机所知识产出_会议论文
推荐引用方式
GB/T 7714		 Chen S.-L.,Huang L.-Q.. Compression of remote sensing image based on Listless Zerotree Coding and DPCM (EI CONFERENCE)[C]. 见:ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005. Changchun, China.

入库方式： OAI收割

来源：长春光学精密机械与物理研究所

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