Sid Ahmed Fezza

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In this paper, a novel approach that addresses the stereo correspondence problem is proposed. Some recent techniques that transform the stereo correspondence problem to a minimization of a global energy function are based on graph cuts. These techniques based on graph cuts consider all possible disparities between minimum and maximum values for each pixel.(More)
The problem of determining the best level of asymmetry has been addressed by several recent works with the aim to guarantee an optimal binocular perception while keeping the minimum required information. To do so, subjective experiments have been conducted for the definition of an appropriate threshold. However, such an approach is lacking in terms of(More)
3D imaging recently has attracted great attention from industries and research institutes, this is due to the novelty and the impression of depth generated by the exploitation of the stereovision phenomenon. Stereovision consists to exploit two images (left and right) of the same scene captured from different viewpoints, this pair of images is used to(More)
Developing a metric that can reliably predict the perceptual 3D quality as perceived by the end user, is a challenging issue and a necessary tool for the success of 3D multimedia applications. The various attempts at predicting 3D quality of experience as the combination of 2D quality of the left and right images have shown their limitations, and(More)
The deployment of 3D techniques is one of the most promising fields regarding the development of new applications for natural video scenes, as they provide users greatly enhanced viewing experience. For such applications, multi-view video coding is crucial to handle the enormous amount of data. This paper provides an experimental analysis of multi-view(More)
Considerable research efforts have been devoted to stereo image compression. However, most of them focused on the luminance and ignored the chromatic information. Consequently, in this paper we propose a stereo color image coding method based on colorization. The main idea is to compress one view of the stereo pair using a standard coding method, while for(More)