Oussama Messai

Université Lumiere Lyon 2 | UL2 · LIRIS -Laboratoire d’Informatique en Image et Systèmes d’Information UMR 5205 CNRS

Numerous stereo Image Quality Assessment (IQA) metrics have been designed only for symmetrically distorted stereo image pairs. However, in many scenarios, the stereo images could be afflicted by asymmetric distortion. This paper presents a new no-reference stereoscopic 3D image quality assessment metric using cyclopean image and machine-learning. T...

This paper mainly introduces a new referenceless stereo-pairquality assessment using cyclopean view and deep learning. Theproposed method is based on Human Visual System (HVS) mod-eling. Firstly, the cyclopean image is constructed considering thepresence of binocular rivalry/suppression in order to cover the asym-metric distortion case. Secondly, t...

Stereoscopic image quality evaluation and enhancement are facing more challenges than its 2D counterparts. The use of stereoscopic/3D imaging is rapidly increasing. Stereo images could be afflicted by different types of distortion. For the development of stereoscopic image quality evaluation and enhancement algorithms, a no-reference distortion cla...

Stereoscopic imaging is widely used in many fields. In many scenarios, stereo images quality could be affected by various degradations, such as asymmetric distortion. Accordingly, to guarantee the best quality of experience, robust and accurate referenceless metrics are required for quality assessment of stereoscopic content. Most existing stereo n...

Deep learning-based quality metrics have recently given significant improvement in Image Quality Assessment (IQA). In the field of stereoscopic vision, information is evenly distributed with slight disparity to the left and right eyes. However, due to asymmetric distortion, the objective quality ratings for the left and right images would differ, n...

Deep learning-based quality metrics have recently given significant improvement in Image Quality Assessment (IQA). In the field of stereoscopic vision, information is evenly distributed with slight disparity to the left and right eyes. However , due to asymmetric distortion, the objective quality ratings for the left and right images would differ,...

The use of 3D technologies is growing rapidly, and stereoscopic imaging is usually used to display the 3D contents. However, compression, transmission and other necessary treatments may reduce the quality of these images. Stereo Image Quality Assessment (SIQA) has attracted more attention to ensure good viewing experience for the users and thus sev...

Due to the use of 3D contents in various applications, Stereo Image Quality Assessment (SIQA) has attracted more attention to ensure good viewing experience for the users. Several methods have been thus proposed in the literature with a clear improvement for deep learning-based methods. This paper introduces a new deep learning-based no-reference S...

With the expanding use of stereoscopic imaging for 3D applications, no-reference perceptual quality evaluation has become important to provide good viewing experience. The effect of the quality distortion is related to the scene’s spatial details. Taking this into account, this paper introduces a blind stereoscopic image quality measurement using s...

Due to the use of 3D contents in various applications, Stereo Image Quality Assessment (SIQA) has attracted more attention to ensure good viewing experience for the users. Several methods have been thus proposed in the literature with a clear improvement for deep learning-based methods. This paper introduces a new deep learning-based no-reference S...

The quality control of steel products by human vision remains tedious, fatiguing, somewhat fast, rather robust, sketchy, dangerous or impossible. For these reasons, the use of the artificial vision in the world of quality control has become more than necessary. However, these images are often large in terms of quantity and size, which becomes a pro...

In this research we gave a demonstration and explanation of controlling through Ethernet network in industrial field (Profinet), with using the latest hardware and software provided by Siemens company, since there is many industrial application does not require a complex solution and real-time diagnostics, we constructed a controlling network solut...