Compression of hyper-spectral images using an accelerated nonnegative tensor decomposition
Nonnegative tensor Tucker decomposition (NTD) in a transform domain (e.g., 2D-DWT, etc) has been used in the compression of hyper-spectral images because it can remove redundancies between spectrum bands and also exploit spatial correlations of each band. However, the use of a NTD has a very high co...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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De Gruyter
2017-12-01
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| Series: | Open Physics |
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| Online Access: | https://doi.org/10.1515/phys-2017-0123 |
| _version_ | 1818578570598940672 |
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| author | Li Jin Liu Zilong |
| author_facet | Li Jin Liu Zilong |
| author_sort | Li Jin |
| collection | DOAJ |
| description | Nonnegative tensor Tucker decomposition (NTD) in a transform domain (e.g., 2D-DWT, etc) has been used in the compression of hyper-spectral images because it can remove redundancies between spectrum bands and also exploit spatial correlations of each band. However, the use of a NTD has a very high computational cost. In this paper, we propose a low complexity NTD-based compression method of hyper-spectral images. This method is based on a pair-wise multilevel grouping approach for the NTD to overcome its high computational cost. The proposed method has a low complexity under a slight decrease of the coding performance compared to conventional NTD. We experimentally confirm this method, which indicates that this method has the less processing time and keeps a better coding performance than the case that the NTD is not used. The proposed approach has a potential application in the loss compression of hyper-spectral or multi-spectral images |
| first_indexed | 2024-12-16T06:47:55Z |
| format | Article |
| id | doaj.art-bac5aee415f3477f99e5725b959b0b39 |
| institution | Directory Open Access Journal |
| issn | 2391-5471 |
| language | English |
| last_indexed | 2024-12-16T06:47:55Z |
| publishDate | 2017-12-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Open Physics |
| spelling | doaj.art-bac5aee415f3477f99e5725b959b0b392022-12-21T22:40:29ZengDe GruyterOpen Physics2391-54712017-12-0115199299610.1515/phys-2017-0123phys-2017-0123Compression of hyper-spectral images using an accelerated nonnegative tensor decompositionLi Jin0Liu Zilong1Department of Precision Instrument, Tsinghua University, Beijing, ChinaOptic Division, National Institute of Metrology, Beijing, ChinaNonnegative tensor Tucker decomposition (NTD) in a transform domain (e.g., 2D-DWT, etc) has been used in the compression of hyper-spectral images because it can remove redundancies between spectrum bands and also exploit spatial correlations of each band. However, the use of a NTD has a very high computational cost. In this paper, we propose a low complexity NTD-based compression method of hyper-spectral images. This method is based on a pair-wise multilevel grouping approach for the NTD to overcome its high computational cost. The proposed method has a low complexity under a slight decrease of the coding performance compared to conventional NTD. We experimentally confirm this method, which indicates that this method has the less processing time and keeps a better coding performance than the case that the NTD is not used. The proposed approach has a potential application in the loss compression of hyper-spectral or multi-spectral imageshttps://doi.org/10.1515/phys-2017-0123multi/hyper-spectral image compressionnonnegative tensor decompositon (ntd)pairwise multilevel tucker decomposition (pm-td)07.05.pj42.30.va |
| spellingShingle | Li Jin Liu Zilong Compression of hyper-spectral images using an accelerated nonnegative tensor decomposition Open Physics multi/hyper-spectral image compression nonnegative tensor decompositon (ntd) pairwise multilevel tucker decomposition (pm-td) 07.05.pj 42.30.va |
| title | Compression of hyper-spectral images using an accelerated nonnegative tensor decomposition |
| title_full | Compression of hyper-spectral images using an accelerated nonnegative tensor decomposition |
| title_fullStr | Compression of hyper-spectral images using an accelerated nonnegative tensor decomposition |
| title_full_unstemmed | Compression of hyper-spectral images using an accelerated nonnegative tensor decomposition |
| title_short | Compression of hyper-spectral images using an accelerated nonnegative tensor decomposition |
| title_sort | compression of hyper spectral images using an accelerated nonnegative tensor decomposition |
| topic | multi/hyper-spectral image compression nonnegative tensor decompositon (ntd) pairwise multilevel tucker decomposition (pm-td) 07.05.pj 42.30.va |
| url | https://doi.org/10.1515/phys-2017-0123 |
| work_keys_str_mv | AT lijin compressionofhyperspectralimagesusinganacceleratednonnegativetensordecomposition AT liuzilong compressionofhyperspectralimagesusinganacceleratednonnegativetensordecomposition |