Lossless compression of multispectral images using spectral information
文献类型：会议论文
| 作者 | Ma L(马龙); Shi ZL(史泽林) ; Tang XS(唐旭晟)
|
| 出版日期 | 2009 |
| 会议名称 | MIPPR 2009: Multispectral Image Acquisition and Processing |
| 会议日期 | October 30 - November 1, 2009 |
| 会议地点 | Yichang, China |
| 关键词 | Lossless compression image compression spectral linear prediction |
| 页码 | 749416 |
| 中文摘要 | Multispectral images are available for different purposes due to developments in spectral imaging systems. The sizes of multispectral images are enormous. Thus transmission and storage of these volumes of data require huge time and memory resources. That is why compression algorithms must be developed. A salient property of multispectral images is that strong spectral correlation exists throughout almost all bands. This fact is successfully used to predict each band based on the previous bands. We propose to use spectral linear prediction and entropy coding with context modeling for encoding multispectral images. Linear prediction predicts the value for the next sample and computes the difference between predicted value and the original value. This difference is usually small, so it can be encoded with less its than the original value. The technique implies prediction of each image band by involving number of bands along the image spectra. Each pixel is predicted using information provided by pixels in the previous bands in the same spatial position. As done in the JPEG-LS, the proposed coder also represents the mapped residuals by using an adaptive Golomb-Rice code with context modeling. This residual coding is context adaptive, where the context used for the current sample is identified by a context quantization function of the three gradients. Then, context-dependent Golomb-Rice code and bias parameters are estimated sample by sample. The proposed scheme was compared with three algorithms applied to the lossless compression of multispectral images, namely JPEG-LS, Rice coding, and JPEG2000. Simulation tests performed on AVIRIS images have demonstrated that the proposed compression scheme is suitable for multispectral images. |
| 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/173321/7996]  |
| 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,Tang XS. Lossless compression of multispectral images using spectral information[C]. 见:MIPPR 2009: Multispectral Image Acquisition and Processing. Yichang, China. October 30 - November 1, 2009. |
入库方式： OAI收割
来源：沈阳自动化研究所
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