Title :
Survey of image compression algorithms for ESMO mission
Author :
Miha Gostenčnik;Dejan Gačnik;Iztok Kramberger
Author_Institution :
University of Maribor, Faculty of Electrical Engineering and Computer Science, Maribor, Slovenia
fDate :
6/1/2011 12:00:00 AM
Abstract :
In this paper we present a general evaluation of image compression algorithms for European Student Moon Orbiter mission for acquiring lunar surface imagery. Evaluations were made on ten different images, processed into various image formats and later reviewed with several objective measurements. As a comparison Set-Partitioning in Hierarchical Trees (SPIHT) algorithm and Discrete Cosine Transform (DCT) algorithm were also evaluated.
Keywords :
"Image coding","Transform coding","Discrete cosine transforms","Moon","Image quality","PSNR","Distortion measurement"
Conference_Titel :
Systems, Signals and Image Processing (IWSSIP), 2011 18th International Conference on
Print_ISBN :
978-1-4577-0074-3
Electronic_ISBN :
2157-8702