TELKOMNIKA Telecommunication, Computing, Electronics and Control
Fuzzy transform for high-resolution satellite images compression
Dublin Core
Title
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Fuzzy transform for high-resolution satellite images compression
Fuzzy transform for high-resolution satellite images compression
Subject
Fuzzy transform, Satellite images, Very high resolution image compression
Description
Many compression methods have been developed until now, especially for very high-resolution satellites images, which, due to the massive information contained in them, need compression for a more efficient storage and transmission. This paper modifies Perfilieva's Fuzzy transform using pseudo-exponential function to compress very high-resolution satellite images. We found that very high-resolution satellite images can be compressed by F-transform with pseudo-exponential function as the membership function. The compressed images have good quality as shown by the PSNR values ranging around 59-66 dB. However, the process is quite time-consuming with average 187.1954 seconds needed to compress one image. These compressed images qualities are better than the standard compression methods such as CCSDS and Wavelet method, but still inferior regarding time consumption.
Creator
Donna Monica, Ayom Widipaminto
Source
DOI: 10.12928/TELKOMNIKA.v18i2.14903
Publisher
Universitas Ahmad Dahlan
Date
April 2020
Contributor
Sri Wahyuni
Rights
ISSN: 1693-6930
Relation
http://journal.uad.ac.id/index.php/TELKOMNIKA
Format
PDF
Language
English
Type
Text
Coverage
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Files
Collection
Citation
Donna Monica, Ayom Widipaminto, “TELKOMNIKA Telecommunication, Computing, Electronics and Control
Fuzzy transform for high-resolution satellite images compression,” Repository Horizon University Indonesia, accessed November 22, 2024, https://repository.horizon.ac.id/items/show/3746.
Fuzzy transform for high-resolution satellite images compression,” Repository Horizon University Indonesia, accessed November 22, 2024, https://repository.horizon.ac.id/items/show/3746.