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All Journal International Journal of Informatics and Communication Technology (IJ-ICT) Indonesian Journal of Electrical Engineering and Computer Science
M. Fakir
Sultan Moulay Slimane University
Computer Science & IT

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New Image Compression Algorithm using Haar Wavelet Transform R. El Ayachi; B. Bouikhalene; M. Fakir
International Journal of Informatics and Communication Technology (IJ-ICT) Vol 6, No 1: April 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (428.895 KB) | DOI: 10.11591/ijict.v6i1.pp43-48

Abstract

The compression is a process of Image Processing which interested to change the information representation in order to reduce the stockage capacity and transmission time. In this work we propose a new image compression algorithm based on Haar wavelets by introducing a compression coefficient that controls the compression levels. This method reduces the complexity in obtaining the desired level of compression from the original image only and without using intermediate levels.
Toward an Effective Combination of multiple Visual Features for Semantic Image Annotation B. Minaoui; M. Oujaoura; M. Fakir; M. Sajieddine
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 3: September 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i3.pp533-543

Abstract

In this paper we study the problem of combining low-level visual features for semantic image annotation. The problem is tackled with a two different approaches that combines texture, color and shape features via a Bayesian network classifier. In first approach, vector concatenation has been applied to combine the three low-level visual features. All three descriptors are normalized and merged into a unique vector used with single classifier. In the second approach, the three types of visual features are combined in parallel scheme via three classifiers. Each type of descriptors is used separately with single classifier. The experimental results show that the semantic image annotation accuracy is higher when the second approach is used.
Co-Authors B. Bouikhalene B. Minaoui M. Oujaoura M. Sajieddine R. El Ayachi