Abstract
In the process of image transmission, the famous JPEG and JPEG-2000 compression methods need more transmission time as it is difficult for them to compress the image with a low compression rate. Recently the compressed sensing (CS) theory was proposed, which has earned great concern as it can compress an image with a low compression rate, meanwhile the original image can be perfectly reconstructed from only a few compressed data. The CS theory is used to transmit the high resolution astronomical image and build the simulation environment where there is communication between the satellite and the Earth. Number experimental results show that the CS theory can effectively reduce the image transmission and reconstruction time. Even with a very low compression rate, it still can recover a higher quality astronomical image than JPEG and JPEG-2000 compression methods.
| Original language | English |
|---|---|
| Article number | 7514694 |
| Pages (from-to) | 680-690 |
| Number of pages | 11 |
| Journal | Journal of Systems Engineering and Electronics |
| Volume | 27 |
| Issue number | 3 |
| DOIs | |
| State | Published - 22 Jun 2016 |
Keywords
- astronomical image
- compressed sensing (CS)
- compression rate
- high resolution
- transmission time
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