Chems El Houda Allaoui
LTIT Laboratory, Tahri Mohammed University of Bechar

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Modified spiht algorithm for quincunx wavelet image coding Ismahane Benyahia; Abdesselam Bassou; Chems El Houda Allaoui; Mohammed Beladgham
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 1: October 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i1.pp230-242

Abstract

In this paper, an image compression method based on the Quincunx algorithm coupled with the modified SPIHT encoder (called SPIHT-Z) is presented. The SPIHT-Z encoder (coupled with quincunx transform) provides better compression results compared with two other algorithms: conventional wavelet and quincunx both coupled with the SPIHT encoder. The obtained results, using the algorithm that applies (Quincunx with SPIHT-Z) are evaluated by image quality evaluation parameters (PSNR, MSSIM, and VIF). The compression results on twenty test images showed that the proposed algorithm achieved better levels of the image evaluation parameters at low bit rates.
Selection of compression test images using variance-based statistical method Chems El Houda Allaoui; Abdesselam Bassou; Ismahane Benyahia; Mustapha Khelifi
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 1: October 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i1.pp243-258

Abstract

In this research paper, we used a variance-based statistical method to select 20 test images, according to these latter types (natural, satellite and medical) among a sample of 300 images (100 natural, 100 satellite and 100 medical). The images selection has been done using parameters of image quality, namely PSNR, MSSIM and VIF, which were applied on three compression algorithms (DWT+SPIHT, JPEG, and JPEG2000).