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http://dx.doi.org/10.5467/JKESS.2011.32.6.575

The Effect of Wavelet Pair Choice in the Compression of the Satellite Images  

Jin, Hong-Sung (Department of Applied Mathematics, Chonnam National University)
Han, Dong-Yeob (Department of Marine and Civil Engineering, Chonnam National University)
Publication Information
Journal of the Korean earth science society / v.32, no.6, 2011 , pp. 575-585 More about this Journal
Abstract
The effect of wavelet pair choice in the compression of the satellite images is studied. There is a trade-off between compression rate and perception quality. The encoding ratio is used to express the compression rate, and Peak Signal-to-Noise Ratio (PSNR) is also used for the perceptional performance. The PSNR and the encoding ratio are not matched well for the images with various wavelet pairs, but the tendency is remarkable. It is hard to find the pattern of PSNR for sampled images. On the other hand, there is a pattern of the variation range of the encoding ratio for each image. The satellite images have larger values of the encoding ratio than those of nature images (close range images). Depending on the wavelet pairs, the PSNR and the encoding ratio vary as much as 13.2 to 21.6% and 16.8 to 45.5%, respectively for each image. For Synthetic Aperture Radar (SAR) images the encoding ratio varies from 16 to 20% while for the nature images it varies more than 40% depending on the choice of wavelet pairs. The choice of wavelet for the compression affects the nature images more than the satellite images. With the indices such as the PSNR and the encoding ratio, the satellite images are less sensitive to the choice of wavelet pairs. A new index, energy concentration ratio (ECR) is proposed to investigate the effect of wavelet choice on the satellite image compression. It also shows that the satellite images are less sensitive than the nature images. Nevertheless, the effect of wavelet choice on the satellite image compression varies at least 10% for all three kinds of indices. However, the important of choice of wavelet pairs cannot be ignored.
Keywords
wavelet pairs; PSNR; encoding ratio; ECR; satellite images compression;
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Times Cited By KSCI : 6  (Citation Analysis)
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