DocumentCode :
2957786
Title :
Wireless image transmission based on adaptive OFDM system
Author :
Chu, Hyung Suk ; Park, Byung Su ; An, Chong Koo ; Kang, Jung Sun ; Son, Hui-Geun
Author_Institution :
Sch. of Electr. Eng., Univ. of Ulsan, Ulsan
fYear :
2007
fDate :
3-6 Oct. 2007
Firstpage :
623
Lastpage :
626
Abstract :
This paper presents the image transmission system, that consists of the wavelet based image compression algorithm and the adaptive OFDM system. The wavelet based image compression algorithm searches the position information of the significant coefficients by the quad-tree information and computes the magnitude information using the EZW method. The adaptive OFDM system allocates the modulation bit of each subcarrier according to the channel condition by using the channel estimation algorithm. The proposed image transmission system progressively transmits the input image according to the compression bit rate and improves, up to 8 dB, the PSNR performance of the adaptive modulation in comparison with that of the fixed modulation (16QAM).
Keywords :
OFDM modulation; adaptive modulation; channel estimation; data compression; image coding; quadtrees; visual communication; wavelet transforms; EZW method; adaptive OFDM system; adaptive modulation; channel condition; channel estimation algorithm; compression bit rate; fixed modulation; image transmission system; modulation bit; position information; quad-tree information; wavelet based image compression algorithm; wireless image transmission; Adaptive systems; Bit rate; Channel estimation; Digital audio broadcasting; Discrete wavelet transforms; Image coding; Image communication; Image reconstruction; OFDM modulation; PSNR; Adaptive OFDM; Image transmission systeln; Wavelet transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Strategic Technology, 2007. IFOST 2007. International Forum on
Conference_Location :
Ulaanbaatar
Print_ISBN :
978-1-4244-3589-0
Electronic_ISBN :
978-1-4244-1831-2
Type :
conf
DOI :
10.1109/IFOST.2007.4798676
Filename :
4798676
Link To Document :
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