DocumentCode :
2446625
Title :
Color Image Coding by Modified Embedded Zerotree Wavelet (EZW) Algorithm
Author :
Ouafi, A. ; Ahmed, A. Taleb ; Baarir, Z. ; Doghmane, N. ; Zitouni, A.
Author_Institution :
Dept. of Electron., Biskra Univ.
Volume :
1
fYear :
0
fDate :
0-0 0
Firstpage :
1451
Lastpage :
1456
Abstract :
In this paper, a new approach of images coding by Shapiro algorithm (embedded zerotree wavelet algorithm or EZW) is proposed. This approach, the modified EZW (MEZW), distributes entropy differently than Shapiro´s and also optimizes the coding. This can produce results that are a significant improvement on the PSNR and compression ratio obtained by Shapiro, without affecting the computing time. These results are also comparable with those obtained using the SPIHT and SPECK algorithms. The EZW, Spiht or Speck algorithms are based on the wavelet transform. The principle of wavelet transform is to decompose hierarchically the input image into a series of successively lower resolution reference images and detail images which contain the information needed to be reconstructed back to the next higher resolution level. The subband images resulting from wavelet transform are not of equal significance. Some subbands contain more information than others (example the baseband subband)
Keywords :
data compression; image coding; image colour analysis; trees (mathematics); wavelet transforms; EZW algorithm; SPECK algorithm; SPIHT algorithm; Shapiro algorithm; color image coding optimization; compression ratio; embedded zerotree wavelet; entropy distribution; subband image; wavelet transform; Baseband; Color; Digital filters; Discrete wavelet transforms; Finite impulse response filter; Image coding; Image resolution; Low pass filters; Quantization; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Communication Technologies, 2006. ICTTA '06. 2nd
Conference_Location :
Damascus
Print_ISBN :
0-7803-9521-2
Type :
conf
DOI :
10.1109/ICTTA.2006.1684595
Filename :
1684595
Link To Document :
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