Comparison of Image Compression Algorithms Used in Wireless Multimedia Sensor Networks
Yükleniyor...
Dosyalar
Tarih
2016
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Wireless Multimedia Sensor Networks (WMSN) are used to transfer large amount of data like audio, image, and video. The multimedia data which is gathered from the environment is processed and then transferred to another sensor or a sink in WMSN. Except for the special applications, in WMSN, there is only compression operation on the data. In this study, image compression and decompression times of three image compression algorithms: Discrete Cosine Transform -DCT, Set Partitioning in Hierarchical Trees - SPIHT, Low Energy Image Compression Algorithm - LEICA, which are also frequently used for WMSN are compared. The algorithms are first encoded by C programming language and run on a virtual machine with Windows OS, which owns hardware requirements of the sensors. Then, the obtained data is evaluated in terms of compression and decompression times.
Açıklama
24th Signal Processing and Communication Application Conference (SIU) -- MAY 16-19, 2016 -- Zonguldak, TURKEY
WOS: 000391250900045
WOS: 000391250900045
Anahtar Kelimeler
KMAA, DCT, SPIHT, LEICA
Kaynak
2016 24Th Signal Processing And Communication Application Conference (Siu)
WoS Q Değeri
N/A
