RKLT-Based Lossless Hyperspectral Image Compression Combined with Principal Components Selection
Summary form only given: In this paper a lossless compression method for hyperspectral image is given. RKLT-based scheme was first presented by combining with 3D prediction, principal component selection, positive mapping followed by a range coder. The proposed method avoids the float number of coef...
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| Vydáno v: | DCC (Los Alamitos, Calif.) s. 584 |
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| Jazyk: | angličtina |
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IEEE
01.03.2016
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| ISSN: | 1068-0314 |
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| Abstract | Summary form only given: In this paper a lossless compression method for hyperspectral image is given. RKLT-based scheme was first presented by combining with 3D prediction, principal component selection, positive mapping followed by a range coder. The proposed method avoids the float number of coefficient which can make it much more easier to be processed on hardware. Numerical experiments show that the proposed method outperforms the state-of-the-art methods (i.e., LUT-NN, LAIS-LUT, and AI) by 13% in terms of compression ratio. |
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| AbstractList | Summary form only given: In this paper a lossless compression method for hyperspectral image is given. RKLT-based scheme was first presented by combining with 3D prediction, principal component selection, positive mapping followed by a range coder. The proposed method avoids the float number of coefficient which can make it much more easier to be processed on hardware. Numerical experiments show that the proposed method outperforms the state-of-the-art methods (i.e., LUT-NN, LAIS-LUT, and AI) by 13% in terms of compression ratio. |
| Author | Shuang Zhou Hao Chen Yi Hua |
| Author_xml | – sequence: 1 surname: Hao Chen fullname: Hao Chen organization: Sch. of Electron. & Inf. Eng., Harbin Inst. of Technol., Harbin, China – sequence: 2 surname: Yi Hua fullname: Yi Hua organization: Sch. of Electron. & Inf. Eng., Harbin Inst. of Technol., Harbin, China – sequence: 3 surname: Shuang Zhou fullname: Shuang Zhou organization: Sch. of Electron. & Inf. Eng., Harbin Inst. of Technol., Harbin, China |
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| Snippet | Summary form only given: In this paper a lossless compression method for hyperspectral image is given. RKLT-based scheme was first presented by combining with... |
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| SubjectTerms | Data compression Diversity reception Hyperspectral imaging Image coding Matrix decomposition Three-dimensional displays Two dimensional displays |
| Title | RKLT-Based Lossless Hyperspectral Image Compression Combined with Principal Components Selection |
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