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Proceedings Paper

Satellite image compression using wavelet
Author(s): Alb. Joko Santoso; F. Soesianto; B. Yudi Dwiandiyanto
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Paper Abstract

Image data is a combination of information and redundancies, the information is part of the data be protected because it contains the meaning and designation data. Meanwhile, the redundancies are part of data that can be reduced, compressed, or eliminated. Problems that arise are related to the nature of image data that spends a lot of memory. In this paper will compare 31 wavelet function by looking at its impact on PSNR, compression ratio, and bits per pixel (bpp) and the influence of decomposition level of PSNR and compression ratio. Based on testing performed, Haar wavelet has the advantage that is obtained PSNR is relatively higher compared with other wavelets. Compression ratio is relatively better than other types of wavelets. Bits per pixel is relatively better than other types of wavelet.

Paper Details

Date Published: 26 February 2010
PDF: 6 pages
Proc. SPIE 7546, Second International Conference on Digital Image Processing, 75463N (26 February 2010); doi: 10.1117/12.855734
Show Author Affiliations
Alb. Joko Santoso, Univ. of Atma Jaya Yogyakarta (Indonesia)
F. Soesianto, Univ. of Atma Jaya Yogyakarta (Indonesia)
B. Yudi Dwiandiyanto, Univ. of Atma Jaya Yogyakarta (Indonesia)


Published in SPIE Proceedings Vol. 7546:
Second International Conference on Digital Image Processing
Kamaruzaman Jusoff; Yi Xie, Editor(s)

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