Color Image Coding by Modified Embedded Zerotree Wavelet (EZW) Algorithm
Abdelkrim Ouafi, A. Taleb Ahmed, Zine-Eddine Baarir, Noureddine Doghmane, Athmane Zitouni · 2006
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)