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Auteur Zianou Ahmed Seghir |
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Titre : Evaluation de la qualité d’image Type de document : texte imprimé Auteurs : Zianou Ahmed Seghir, Auteur ; F. Hachouf, Directeur de thèse Editeur : Constantine : Université Mentouri Constantine Année de publication : 2012 Importance : 115 f. Format : 30 cm. Note générale : Doctorat en sciences
2 copies imprimées disponiblesLangues : Français (fre) Catégories : Français - Anglais
InformatiqueTags : Evaluation de la qualité d’image information contour et région pixels déformés pixels déplacés Index. décimale : 004 Traitement de données. Informatique Résumé : Image quality assessment (IQA) plays a major role in a broad range of applications. Evaluating the adequacy of a quality image for a given application (image or video processing applications) is a requisite. However, objective quality assessment is far from being a solved problem. In this work, we have addressed the problem of assessment of images quality. An approach based on edge-region information, distorted and displaced pixels have been developed for image quality assessment. First, the distorted and original images are divided into blocks of 11×11 pixels, andthen we compute distorted pixels and displacement which can be used to compute the global error. Simulation results with well known methods show that the performance of the proposed technique is found to be better than previously metrics which do not use the pixel displacement in calculation. Thus, the results indicate that this global method can be helpful in the assessment and comparison of quality of images. In the conducted experiments, the proposed IQA method has showed the aptitude to evaluate the image quality according towhat a human observer would do. Diplôme : Doctorat en sciences En ligne : ../theses/informatique/AHM6322.pdf Format de la ressource électronique : Permalink : index.php?lvl=notice_display&id=6287 Evaluation de la qualité d’image [texte imprimé] / Zianou Ahmed Seghir, Auteur ; F. Hachouf, Directeur de thèse . - Constantine : Université Mentouri Constantine, 2012 . - 115 f. ; 30 cm.
Doctorat en sciences
2 copies imprimées disponibles
Langues : Français (fre)
Catégories : Français - Anglais
InformatiqueTags : Evaluation de la qualité d’image information contour et région pixels déformés pixels déplacés Index. décimale : 004 Traitement de données. Informatique Résumé : Image quality assessment (IQA) plays a major role in a broad range of applications. Evaluating the adequacy of a quality image for a given application (image or video processing applications) is a requisite. However, objective quality assessment is far from being a solved problem. In this work, we have addressed the problem of assessment of images quality. An approach based on edge-region information, distorted and displaced pixels have been developed for image quality assessment. First, the distorted and original images are divided into blocks of 11×11 pixels, andthen we compute distorted pixels and displacement which can be used to compute the global error. Simulation results with well known methods show that the performance of the proposed technique is found to be better than previously metrics which do not use the pixel displacement in calculation. Thus, the results indicate that this global method can be helpful in the assessment and comparison of quality of images. In the conducted experiments, the proposed IQA method has showed the aptitude to evaluate the image quality according towhat a human observer would do. Diplôme : Doctorat en sciences En ligne : ../theses/informatique/AHM6322.pdf Format de la ressource électronique : Permalink : index.php?lvl=notice_display&id=6287 Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité AHM/6322 AHM/6322 Thèse Bibliothèque principale Thèses Disponible Documents numériques
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Titre : No-reference stereoscopic image quality assessment. Type de document : texte imprimé Auteurs : Oussama Messai, Auteur ; Fella Hachouf, Directeur de thèse ; Zianou Ahmed Seghir, Directeur de thèse Mention d'édition : 16/12/2021 Editeur : جامعة الإخوة منتوري قسنطينة Année de publication : 2021 Importance : 161 f. Format : 30 cm. Note générale : Doctorat 3éme CYCLE LMD.
1 copies imprimées disponibles
Langues : Anglais (eng) Catégories : Français - Anglais
ElectroniqueTags : Electronique: Automatique et Traitement du signal ( Automatic and signal processing) Evaluation de la qualité d’image stéréoscopique (SIQA) système visuel humain (HVS) informations de saillance apprentissage en profondeur Stereoscopic Image Quality Assessment (SIQA) Human Visual System (HVS) Saliency information Deep learning تقييم جودة الصورة المجسمة النظام البصري البشري معلومات التميز التعلم العميق Index. décimale : 621 Electronique Résumé :
Stereoscopic imaging is becoming increasingly popular, and its use in photography, television, and films is rapidly expanding. Obviously, access to this type of images often includes necessary treatments (acquisition, processing, compression, transmission, etc.), which may result in a variety of artifacts (blocking, blur, ringing, etc.). As a result, it is critical to have adequate tools for measuring the quality of stereoscopic contents. It is thus essential to establish efficient metrics that assess the impact of these treatments on the perceived quality. To meet this critical need, significant efforts have been made to study and evaluate the quality of stereoscopic images. In this thesis, we present several contributions for quality assessment of stereoscopic contents. Five methods have been proposed in total, with all of them are no-reference based metric. These metrics were developed with Human Visual System (HVS) modeling and human visual attention (saliency information) in mind. In addition, various advanced techniques, such as deep learning, have been incorporated into our workflow designs.
Diplôme : Doctorat En ligne : ../theses/electronique/MES7843.pdf Format de la ressource électronique : Permalink : index.php?lvl=notice_display&id=11717 No-reference stereoscopic image quality assessment. [texte imprimé] / Oussama Messai, Auteur ; Fella Hachouf, Directeur de thèse ; Zianou Ahmed Seghir, Directeur de thèse . - 16/12/2021 . - جامعة الإخوة منتوري قسنطينة, 2021 . - 161 f. ; 30 cm.
Doctorat 3éme CYCLE LMD.
1 copies imprimées disponibles
Langues : Anglais (eng)
Catégories : Français - Anglais
ElectroniqueTags : Electronique: Automatique et Traitement du signal ( Automatic and signal processing) Evaluation de la qualité d’image stéréoscopique (SIQA) système visuel humain (HVS) informations de saillance apprentissage en profondeur Stereoscopic Image Quality Assessment (SIQA) Human Visual System (HVS) Saliency information Deep learning تقييم جودة الصورة المجسمة النظام البصري البشري معلومات التميز التعلم العميق Index. décimale : 621 Electronique Résumé :
Stereoscopic imaging is becoming increasingly popular, and its use in photography, television, and films is rapidly expanding. Obviously, access to this type of images often includes necessary treatments (acquisition, processing, compression, transmission, etc.), which may result in a variety of artifacts (blocking, blur, ringing, etc.). As a result, it is critical to have adequate tools for measuring the quality of stereoscopic contents. It is thus essential to establish efficient metrics that assess the impact of these treatments on the perceived quality. To meet this critical need, significant efforts have been made to study and evaluate the quality of stereoscopic images. In this thesis, we present several contributions for quality assessment of stereoscopic contents. Five methods have been proposed in total, with all of them are no-reference based metric. These metrics were developed with Human Visual System (HVS) modeling and human visual attention (saliency information) in mind. In addition, various advanced techniques, such as deep learning, have been incorporated into our workflow designs.
Diplôme : Doctorat En ligne : ../theses/electronique/MES7843.pdf Format de la ressource électronique : Permalink : index.php?lvl=notice_display&id=11717 Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité MES/7843 MES/7843 Thèse Bibliothèque principale Thèses Disponible
