FIVQ algorithm for interference hyper-spectral image compression
文献类型：期刊论文
| 作者 | Wen, Jia (1) ; Ma, Caiwen (2) ; Zhao, Junsuo (1) |
| 刊名 | Optics Communications
 |
| 出版日期 | 2014 |
| 卷号 | 322页码:97-104 |
| 关键词 | Image compression Vector quantization LBG algorithm Arithmetic coding |
| ISSN号 | 304018 |
| 通讯作者 | Wen, J.(448680289@qq.com) |
| 中文摘要 | Based on the improved vector quantization (IVQ) algorithm [1] which was proposed in 2012, this paper proposes a further improved vector quantization (FIVQ) algorithm for LASIS (Large Aperture Static Imaging Spectrometer) interference hyper-spectral image compression. To get better image quality, IVQ algorithm takes both the mean values and the VQ indices as the encoding rules. Although IVQ algorithm can improve both the bit rate and the image quality, it still can be further improved in order to get much lower bit rate for the LASIS interference pattern with the special optical characteristics based on the pushing and sweeping in LASIS imaging principle. In the proposed algorithm FIVQ, the neighborhood of the encoding blocks of the interference pattern image, which are using the mean value rules, will be checked whether they have the same mean value as the current processing block. Experiments show the proposed algorithm FIVQ can get lower bit rate compared to that of the IVQ algorithm for the LASIS interference hyper-spectral sequences. © 2014 Elsevier B.V. |
| 英文摘要 | Based on the improved vector quantization (IVQ) algorithm [1] which was proposed in 2012, this paper proposes a further improved vector quantization (FIVQ) algorithm for LASIS (Large Aperture Static Imaging Spectrometer) interference hyper-spectral image compression. To get better image quality, IVQ algorithm takes both the mean values and the VQ indices as the encoding rules. Although IVQ algorithm can improve both the bit rate and the image quality, it still can be further improved in order to get much lower bit rate for the LASIS interference pattern with the special optical characteristics based on the pushing and sweeping in LASIS imaging principle. In the proposed algorithm FIVQ, the neighborhood of the encoding blocks of the interference pattern image, which are using the mean value rules, will be checked whether they have the same mean value as the current processing block. Experiments show the proposed algorithm FIVQ can get lower bit rate compared to that of the IVQ algorithm for the LASIS interference hyper-spectral sequences. © 2014 Elsevier B.V. |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000335886700017 |
| 公开日期 | 2014-12-16 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/16693]  |
| 专题 | 软件研究所_软件所图书馆_期刊论文 |
| 推荐引用方式 GB/T 7714 | Wen, Jia ,Ma, Caiwen ,Zhao, Junsuo . FIVQ algorithm for interference hyper-spectral image compression[J]. Optics Communications,2014,322:97-104. |
| APA | Wen, Jia ,Ma, Caiwen ,&Zhao, Junsuo .(2014).FIVQ algorithm for interference hyper-spectral image compression.Optics Communications,322,97-104. |
| MLA | Wen, Jia ,et al."FIVQ algorithm for interference hyper-spectral image compression".Optics Communications 322(2014):97-104. |
入库方式： OAI收割
来源：软件研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。