Rafik Bensalma

Learn More
In this paper, we propose a quality metric for color stereo images. The concept of our metric is inspired by the behavior of simple and complex cells located in the primary visual cortex. These cells are responsible for merging left and right retinal images. To replicate the task performed by these cells, we adopted an approach based on spatial-frequency(More)
In this work, a new stereo image coding technique is proposed. The encoder takes into account the case of relatively different images, by reproducing the phenomenon of binocular rivalry. This approach integrates residual image coding with the disparity map. The latter is computed in the wavelet transform domain. The motivation behind using this transform(More)
3D applications are very popular nowadays. They allow to bring new sensations (e.g., cinema, gaming, etc) and new ways for analyzing data (e.g., video-surveillance, pattern recognition, etc). The large availability of 3D data ia better understanding of human 3D perception in order to improve the quality of 3D visual data, increase the visual comfort and(More)
Stereoscopic imaging technologies are seen as the next generation of visual presentation, improving the quality of experience of the viewer. It uses two different sequences acquired from two regular cameras or from a regular camera with an additional specific depth camera. This means that the size of data is at least doubled. Thus, the coding process(More)
This paper presents a new metric for the quality evaluation of stereoscopic images. The proposed metric is inspired from the simple and complex cells response, in which the matching of the left and right retinal images is performed, in the visual cortex. In order to estimate the binocular energy, we used the bandelet transform which is computed on complex(More)
3D applications need a stereo matching algorithm that can merge the left image with the right image. In this paper we propose a stereo matching algorithm based on some binocular properties of the human visual system. For this, we have focused on the simple and complex cells properties that are responsible for binocular fusion. A model, based on a complex(More)
In this paper, we propose a coder for stereoscopic color images based on the binocular properties of the human visual system (HVS). In the preprocessing stage we modeled some properties of the simple and complex cells. These cells characterized by their orientation and amplitude are responsible for binocular fusion; they take as input a set of signals(More)
3D perception consists in receiving two dissimilar retinal images on both eyes. These retinal images undergo pretreatments before arriving at the visual cortex to be merged. In this paper we propose an approach which redraws this pretreatment process. A model for computing the binocular energy is proposed. This model is based on the simple cells and the(More)