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| FIVQ algorithm for interference hyper-spectral image compression | |
| Wen, Jia (1); Ma, Caiwen (2); Zhao, Junsuo (1); Wen, J.(448680289@qq.com) | |
| 2014 | |
| Source | Optics Communications
 |
| ISSN | 304018 |
| Volume | 322Pages:97-104 |
| English Abstract | 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.; 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. |
| Indexed Type | SCI ; EI |
| Keyword | Image Compression Vector Quantization Lbg Algorithm Arithmetic Coding |
| Department | (1) Science and Technology on Integrated Information System Laboratory, Institute of Software, Chinese Academy of Sciences, No. 4 South Fourth Street, Zhong Guan Cun, Beijing 100190, China; (2) Xian Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, No. 17 Xinxi Road Xian Hi-Tech Ind. Devel. Zone, Xian, Shaanxi 710119, China |
| Language | 英语 |
| WOS ID | WOS:000335886700017 |
| Citation statistics | |
| Content Type | 期刊论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/16693 |
| Collection | 中国科学院软件研究所 |
| Corresponding Author | Wen, J.(448680289@qq.com) |
| Recommended Citation GB/T 7714 | Wen, Jia ,Ma, Caiwen ,Zhao, Junsuo ,et al. FIVQ algorithm for interference hyper-spectral image compression[J]. Optics Communications,2014,322:97-104. |
| APA | Wen, Jia ,Ma, Caiwen ,Zhao, Junsuo ,&Wen, J..(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. |
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