An Efficient Image Compressor for Charge Coupled Devices Camera
Recently, the discrete wavelet transforms- (DWT-) based compressor, such as JPEG2000 and CCSDS-IDC, is widely seen as the state of the art compression scheme for charge coupled devices (CCD) camera. However, CCD images project on the DWT basis to produce a large number of large amplitude high-frequ...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/840762 |
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| author | Jin Li Fei Xing Zheng You |
| author_facet | Jin Li Fei Xing Zheng You |
| author_sort | Jin Li |
| collection | DOAJ |
| description | Recently, the discrete wavelet transforms- (DWT-) based compressor, such as JPEG2000 and CCSDS-IDC, is widely seen as the state of the art compression scheme for charge coupled devices (CCD) camera. However, CCD images project on the DWT basis to produce a large number of large amplitude high-frequency coefficients because these images have a large number of complex texture and contour information, which are disadvantage for the later coding. In this paper, we proposed a low-complexity posttransform coupled with compressing sensing (PT-CS) compression approach for remote sensing image. First, the DWT is applied to the remote sensing image. Then, a pair base posttransform is applied to the DWT coefficients. The pair base are DCT base and Hadamard base, which can be used on the high and low bit-rate, respectively. The best posttransform is selected by the lp-norm-based approach. The posttransform is considered as the sparse representation stage of CS. The posttransform coefficients are resampled by sensing measurement matrix. Experimental results on on-board CCD camera images show that the proposed approach significantly outperforms the CCSDS-IDC-based coder, and its performance is comparable to that of the JPEG2000 at low bit rate and it does not have the high excessive implementation complexity of JPEG2000. |
| format | Article |
| id | doaj-art-2afe88eb563742ad8b28f99584cc2f1b |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-2afe88eb563742ad8b28f99584cc2f1b2025-02-03T01:20:58ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/840762840762An Efficient Image Compressor for Charge Coupled Devices CameraJin Li0Fei Xing1Zheng You2Collaborative Innovation Center for Micro/Nano Fabrication, State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instruments, Tsinghua University, Beijing 100084, ChinaCollaborative Innovation Center for Micro/Nano Fabrication, State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instruments, Tsinghua University, Beijing 100084, ChinaCollaborative Innovation Center for Micro/Nano Fabrication, State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instruments, Tsinghua University, Beijing 100084, ChinaRecently, the discrete wavelet transforms- (DWT-) based compressor, such as JPEG2000 and CCSDS-IDC, is widely seen as the state of the art compression scheme for charge coupled devices (CCD) camera. However, CCD images project on the DWT basis to produce a large number of large amplitude high-frequency coefficients because these images have a large number of complex texture and contour information, which are disadvantage for the later coding. In this paper, we proposed a low-complexity posttransform coupled with compressing sensing (PT-CS) compression approach for remote sensing image. First, the DWT is applied to the remote sensing image. Then, a pair base posttransform is applied to the DWT coefficients. The pair base are DCT base and Hadamard base, which can be used on the high and low bit-rate, respectively. The best posttransform is selected by the lp-norm-based approach. The posttransform is considered as the sparse representation stage of CS. The posttransform coefficients are resampled by sensing measurement matrix. Experimental results on on-board CCD camera images show that the proposed approach significantly outperforms the CCSDS-IDC-based coder, and its performance is comparable to that of the JPEG2000 at low bit rate and it does not have the high excessive implementation complexity of JPEG2000.http://dx.doi.org/10.1155/2014/840762 |
| spellingShingle | Jin Li Fei Xing Zheng You An Efficient Image Compressor for Charge Coupled Devices Camera The Scientific World Journal |
| title | An Efficient Image Compressor for Charge Coupled Devices Camera |
| title_full | An Efficient Image Compressor for Charge Coupled Devices Camera |
| title_fullStr | An Efficient Image Compressor for Charge Coupled Devices Camera |
| title_full_unstemmed | An Efficient Image Compressor for Charge Coupled Devices Camera |
| title_short | An Efficient Image Compressor for Charge Coupled Devices Camera |
| title_sort | efficient image compressor for charge coupled devices camera |
| url | http://dx.doi.org/10.1155/2014/840762 |
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