Comparison of Image Compression Algorithms Used in Wireless Multimedia Sensor Networks
Loading...
Files
Date
2016
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Ieee
Access Rights
info:eu-repo/semantics/closedAccess
Abstract
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.
Description
24th Signal Processing and Communication Application Conference (SIU) -- MAY 16-19, 2016 -- Zonguldak, TURKEY
WOS: 000391250900045
WOS: 000391250900045
Keywords
KMAA, DCT, SPIHT, LEICA
Journal or Series
2016 24Th Signal Processing And Communication Application Conference (Siu)
WoS Q Value
N/A
