Şentürk, ArafatKara, Resul2020-04-302020-04-302016978-1-5090-1679-2https://hdl.handle.net/20.500.12684/316924th Signal Processing and Communication Application Conference (SIU) -- MAY 16-19, 2016 -- Zonguldak, TURKEYWOS: 000391250900045Wireless 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.trinfo:eu-repo/semantics/closedAccessKMAADCTSPIHTLEICAConference Object269272N/A