NDLI: Huffman decoding performance analysis of lossy compressed LAPAN-A3/IPB multispectral images

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Huffman decoding performance analysis of lossy compressed LAPAN-A3/IPB multispectral images

Content Provider	Scilit
Author	Hakim, P. R. Permala, R. Syafrudin, A. Hadi
Copyright Year	2019
Description	Journal: Iop Conference Series: Earth and Environmental Science LAPAN-A3/IPB multispectral imager has the ability to produce realtime acquisition images anywhere in the world as long as there is X-band receiver in ground station to receive the image data. The received image data is the compressed version of the original image data, compressed by lossy algorithm of Fast-Fourier Transform and Huffman encoding. Processing of the received image data can be considered complicated in terms of decompressed image data validity and processing time needed. This research aims to develop robust decoding algorithm for LAPAN-A3/IPB multispectral image received in realtime acquisition mode from Bogor ground station. The research focuses on developing efficient method on Huffman decoding for relatively big image data by using look-up-table approach. The developed decoding algorithm has successfully produced daily LAPAN-A3/IPB realtime images with good image quality, where the results have been validated by using original images, recorded on satellite memory. However, the time processing needed for processing any single image is still poor, where 1 GB of compressed image data needs around 1 hour of processing time. Therefore, although the algorithm has been used to regularly produce daily LAPAN-A3/IPB realtime image data, the faster algorithm is needed to achieve better overall processing performance.
Related Links	https://iopscience.iop.org/article/10.1088/1755-1315/284/1/012045/pdf
ISSN	17551307
e-ISSN	17551315
DOI	10.1088/1755-1315/284/1/012045
Journal	Iop Conference Series: Earth and Environmental Science
Issue Number	1
Volume Number	284
Language	English
Publisher	IOP Publishing
Publisher Date	2019-05-01
Access Restriction	Open
Subject Keyword	Journal: Iop Conference Series: Earth and Environmental Science Realtime Acquisition Processing Time Needed Compressed Image Data
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Physics and Astronomy Environmental Science

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