A Fast and Efficient Adaptive Threshold Rate Control Scheme for Remote Sensing Images
The JPEG2000 image compression standard is ideal for processing remote sensing images. However, its algorithm is complex and it requires large amounts of memory, making it difficult to adapt to the limited transmission and storage resources necessary for remote sensing images. In the present study,...
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| Format: | Article |
| Language: | English |
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Wiley
2012-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1100/2012/691413 |
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| author | Xiao Chen Xiaoqing Xu |
| author_facet | Xiao Chen Xiaoqing Xu |
| author_sort | Xiao Chen |
| collection | DOAJ |
| description | The JPEG2000 image compression standard is ideal for processing remote sensing images. However, its algorithm is complex and it requires large amounts of memory, making it difficult to adapt to the limited transmission and storage resources necessary for remote sensing images. In the present study, an improved rate control algorithm for remote sensing images is proposed. The required coded blocks are sorted downward according to their numbers of bit planes prior to entropy coding. An adaptive threshold computed from the combination of the minimum number of bit planes, along with the minimum rate-distortion slope and the compression ratio, is used to truncate passes of each code block during Tier-1 encoding. This routine avoids the encoding of all code passes and improves the coding efficiency. The simulation results show that the computational cost and working buffer memory size of the proposed algorithm reach only 18.13 and 7.81%, respectively, of the same parameters in the postcompression rate distortion algorithm, while the peak signal-to-noise ratio across the images remains almost the same. The proposed algorithm not only greatly reduces the code complexity and buffer requirements but also maintains the image quality. |
| format | Article |
| id | doaj-art-9c7df95638a24008b4eae8400eb1ec4d |
| institution | Kabale University |
| issn | 1537-744X |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-9c7df95638a24008b4eae8400eb1ec4d2025-08-20T03:38:16ZengWileyThe Scientific World Journal1537-744X2012-01-01201210.1100/2012/691413691413A Fast and Efficient Adaptive Threshold Rate Control Scheme for Remote Sensing ImagesXiao Chen0Xiaoqing Xu1Jiangsu Key Laboratory of Meteorological Observation and Information Processing, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaJiangsu Key Laboratory of Meteorological Observation and Information Processing, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaThe JPEG2000 image compression standard is ideal for processing remote sensing images. However, its algorithm is complex and it requires large amounts of memory, making it difficult to adapt to the limited transmission and storage resources necessary for remote sensing images. In the present study, an improved rate control algorithm for remote sensing images is proposed. The required coded blocks are sorted downward according to their numbers of bit planes prior to entropy coding. An adaptive threshold computed from the combination of the minimum number of bit planes, along with the minimum rate-distortion slope and the compression ratio, is used to truncate passes of each code block during Tier-1 encoding. This routine avoids the encoding of all code passes and improves the coding efficiency. The simulation results show that the computational cost and working buffer memory size of the proposed algorithm reach only 18.13 and 7.81%, respectively, of the same parameters in the postcompression rate distortion algorithm, while the peak signal-to-noise ratio across the images remains almost the same. The proposed algorithm not only greatly reduces the code complexity and buffer requirements but also maintains the image quality.http://dx.doi.org/10.1100/2012/691413 |
| spellingShingle | Xiao Chen Xiaoqing Xu A Fast and Efficient Adaptive Threshold Rate Control Scheme for Remote Sensing Images The Scientific World Journal |
| title | A Fast and Efficient Adaptive Threshold Rate Control Scheme for Remote Sensing Images |
| title_full | A Fast and Efficient Adaptive Threshold Rate Control Scheme for Remote Sensing Images |
| title_fullStr | A Fast and Efficient Adaptive Threshold Rate Control Scheme for Remote Sensing Images |
| title_full_unstemmed | A Fast and Efficient Adaptive Threshold Rate Control Scheme for Remote Sensing Images |
| title_short | A Fast and Efficient Adaptive Threshold Rate Control Scheme for Remote Sensing Images |
| title_sort | fast and efficient adaptive threshold rate control scheme for remote sensing images |
| url | http://dx.doi.org/10.1100/2012/691413 |
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