Santoso, Albertus Joko (2010) Satellite Image Compression Using Wavelet. In: Second International Conference on Digital Image Processing. SPIE, Singapore. ISBN 9780819479426
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Text (Alb. Joko Santoso, F. Soesianto, B. Yudi Dwiandiyanto)
53. Satellite image compression using wavelet.pdf Download (1MB) | Preview |
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.
| Item Type: | Book Section |
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| Uncontrolled Keywords: | Wavelet, Compression, Satellite Image |
| Subjects: | Teknik Informatika > Mobile Computing |
| Divisions: | Fakultas Teknologi Industri > Teknik Informatika |
| Depositing User: | Editor 3 uajy |
| Date Deposited: | 07 Apr 2022 09:16 |
| Last Modified: | 07 Apr 2022 09:16 |
| URI: | http://e-journal.uajy.ac.id/id/eprint/26686 |
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