Compression of multispectral images using spectral correlation and SPIHT algorithm
文献类型：会议论文
| 作者 | Ma L(马龙); Shi ZL(史泽林) ; Chen YH(陈永红); Tang XS(唐旭晟)
|
| 出版日期 | 2009 |
| 会议名称 | International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications |
| 会议日期 | June 17-19, 2009 |
| 会议地点 | Beijing, China |
| 关键词 | multispectral image spectral correlation SPIHT |
| 页码 | 73833K |
| 中文摘要 | Many methods for lossy and lossless compression of multispectral imaging data has been developed. 3-dimensional compression of multispectral images has been studied by many researchers. Although, the 3-D compression method provides relatively good performances, a major problem is that the method requires a large amount of memory and processing time. A salient property of hyperspectral images is that strong spectral correlation exists throughout almost all bands. This could be because, in these bands, the signal associated with these frequencies is greatly attenuated by the atmosphere or the materials being imaged. In this paper, we take into account these property of multispectal data and propose a new compression algorithm based on a 2-dimensional wavelet transform. In the proposed method, we divide the spectral bands of multispectral images into a number of groups in which each group contains two adjacent bands. The first band of each group is SPIHT coded. Its decoded version is subtracted from the second band, and then SPIHT is applied to the residual image. The data used in this paper was acquired by AVIRIS. There were 224 contiguous spectral bands using wavelengths between 400 and 2500nm. The data set contains 512 scan lines with 614 pixels in each scan line. We selected a sub-region with the size of 512×512 pixels. As can be seen in the results, the proposed algorithm provides better performance than the SPIHT algorithm. |
| 收录类别 | EI |
| 产权排序 | 1 |
| 会议主办者 | SPIE |
| 会议录 | Proc. SPIE
 |
| 会议录出版者 | SPIE |
| 会议录出版地 | BELLINGHAM |
| 语种 | 英语 |
| 源URL | [http://ir.sia.cn/handle/173321/7964]  |
| 专题 | 沈阳自动化研究所_光电信息技术研究室 |
| 推荐引用方式 GB/T 7714 | Ma L,Shi ZL,Chen YH,et al. Compression of multispectral images using spectral correlation and SPIHT algorithm[C]. 见:International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications. Beijing, China. June 17-19, 2009. |
入库方式： OAI收割
来源：沈阳自动化研究所
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