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Journal of Electronic Imaging

Hybrid discrete cosine transform-discrete wavelet transform for progressive image compression
Author(s): Abdennour Boukaache; Noureddine Doghmane
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Paper Abstract

In this paper, we propose an image compression algorithm that uses a hybrid transform and an improved modified set partitioning in hierarchical trees (SPIHT) coding algorithm. The proposed transform uses the subband discrete cosine transform to decompose the image into multiresolution subbands where the discrete wavelet transform is then used to code the low frequencies. Then, we use the SPIHT coding method to code the transformed coefficients. For the SPIHT algorithm, we have proposed a method to reduce the distortion introduced by the SPIHT technique between the original and reconstructed images. The obtained results show the efficiency of the proposed hybrid method in terms of peak signal-to-noise ratio and visual quality.

Paper Details

Date Published: 27 February 2012
PDF: 8 pages
J. Electron. Imaging. 21(1) 013006 doi: 10.1117/1.JEI.21.1.013006
Published in: Journal of Electronic Imaging Volume 21, Issue 1
Show Author Affiliations
Abdennour Boukaache, Univ. de Guelma (Algeria)
Noureddine Doghmane, Univ. Badji Mokhtar (Algeria)


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