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Scientific Visualization
| Issue Year: | 2016 |
| Quarter: | 4 |
| Volume: | 8 |
| Number: | 5 |
| Pages: | 94 - 102 |
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| Article Name: |
SATELLITE IMAGE COMPRESSION TECHNIQUE USING NOISE BIT REMOVAL BY RIDGELET AND INTEGER WAVELET TRANSFORMS |
| Authors: |
Khaled Sahnoun (Algeria), Noureddine Benabadji (Algeria) |
| Address: |
Khaled Sahnoun
khaled.sahnoun@univ-usto.dz
Laboratory of Analysis and Application of Radiation (LAAR), Department of Engineering Physics, Faculty of Physics, University of Sciences and Technology of Oran, Algeria (USTOMB)
Noureddine Benabadji
benanour2000@yahoo.com
Laboratory of Analysis and Application of Radiation (LAAR), Department of Engineering Physics, Faculty of Physics, University of Sciences and Technology of Oran, Algeria (USTOMB) |
| Abstract: |
In this article, we present a new satellite image compression scheme that uses Ridgelete and Integer Wavelet Transform (IWT). The main objective of this new algorithm is to achieve a high compression ration as possible with minimal distortion. The basic idea to achieve high compression is to remove or delete the noisy bits from the satellite image using Discrete Analytical Ridgelet Transform (DART), in the first step and decorrelate the pixels to compact the energy into few components with the IWT in the second step. A vector quantization and coding are applied afterwards. The compression performance was evaluated on satellite imagery; the results obtained by the proposed method are satisfactory. The comparison with JPEG compression shows the strengths of this strategy. |
| Language: |
English |
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