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Digital Image Processing
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Sattelite Image Data Compression using Vector Quantization on Wavelet Information
4. Experiment Result
Two 512*512 satellite, JERS-1 and Landsat, gray images are used in this experiment on a PC. Fig.5(b) and 6(b) show the compressed images using the traditional method and them gradient images are shown in Fig. 5(c) and 6(c), respectively. Fig. 5(d) and 6(d) show the compressed images using the proposed method and them gradient images are shown in Fig. 5(e) and 6(e), respectively. The comparison
Results show that the proposed method gives lesser MSE and more average gradient. This can confirm by following table.
Table of comparison result
| |
Traditional method |
Proposed method |
| MSE |
Average gradient |
MSE |
Average gradient |
| JERS-1 |
60.1278 |
111.4997 |
55.3232 |
114.6669 |
| Landsat |
47.6863 |
86.3965 |
44.2886 |
89.0453 |
Figure 5: Resulting image of JERS-1 imagery
Figure 6: Resulting image of Landsat imagery
Since the gradient information relate to the details of image , so that means the proposed methods gives more details of image.
5 Conclusion
The experimental results show that the image compression using vector Quantization on wavelet information be the proposed method can reduce MSE and maintain the edge's details. Therefore this technique is useful for satellite images, which need the edge's details for interpretation and classification.
Acknowledgement
The authors would like to thank the National research Council of Thialand for providing the satellite images.
References
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- R.K. Young, Wavelet Theory and Its Application, Kluwer Academic Publishers, 1993.
- S. Mallat, "A Theory for Multiresolution Signal Decomposition: The Wavelet Representation," IEEE Trans. On Patt. Anal. Machine Intell., Vol.11, No.7,pp. 674-693 1989.
- N.M. Nasrabadi and R.A. King, "Image coding using vector Quantization: A Review," IEEE Trans. Commun., Vol. COM-36,p.957-971, Aug. 1980.
- Y. Linde, A. Buzo, and R.M. Gray, " An Algorithm for vector quantizer design," IEEE Trans.Commun., Vol.COM-28, pp.84-95, Jan 1980.
- A. Gersho and R.M. Gray, Vector Quantization and Signal Compression, Kluwer Academic Publishers, Boston, 1992.
- M. Antonimi, M. Barlaud, P. Mathieu and I. Daubechies, " Images coding using wavelet transform," IEEE Trans. On Image Processing, Vol.1, pp. 205-220, April 1992.
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