Sahar ismail (52 risultati)

Condizione: New.

Condizione: New.

Condizione: New.

Taschenbuch. Condizione: Neu. Super-résolution | Reconstitution d'une image haute résolution à partir d'un ensemble d'images basse résolution | Sahar Ismail (u. a.) | Taschenbuch | Französisch | 2026 | Editions Notre Savoir | EAN 9786209860911 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New.

Taschenbuch. Condizione: Neu. Superrozdzielczo¿¿ | Rekonstrukcja obrazu o wysokiej rozdzielczo¿ci na podstawie zbioru obrazów o niskiej rozdzielczo¿ci | Sahar Ismail (u. a.) | Taschenbuch | Polnisch | 2026 | Wydawnictwo Nasza Wiedza | EAN 9786209850677 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Condizione: Neu. Super-resolução | Reconstrução de uma imagem de alta resolução a partir de um conjunto de imagens de baixa resolução | Sahar Ismail (u. a.) | Taschenbuch | Portugiesisch | 2026 | Edições Nosso Conhecimento | EAN 9786209855795 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Condizione: Neu. Super risoluzione | Ricostruzione di un'immagine ad alta risoluzione a partire da una serie di immagini a bassa risoluzione | Sahar Ismail (u. a.) | Taschenbuch | Italienisch | 2026 | Edizioni Sapienza | EAN 9786209848117 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Condizione: Neu. Superauflösung | Rekonstruktion eines hochauflösenden Bildes aus einer Reihe von Bildern mit niedriger Auflösung | Sahar Ismail (u. a.) | Taschenbuch | 120 S. | Deutsch | 2026 | Verlag Unser Wissen | EAN 9786209842993 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Although imaging sensors are the dominant technologies for both user and industry applications, they still have several physical limitations, such as noise and limited spatial resolution. These limitations can be overcome, based on device electronics and physics technology. However, a promising solution is a signal processing approach that has been one of the most active research areas, and it is called Super Resolution (SR). This work proposes SR algorithm that uses an affine block-based with the Maximum Likelihood. A number of experiments were performed with the proposed system to obtain reconstructed High Resolution (HR) images of different resolutions from the same set of Low Resolution (LR) images. Also, a number of experiments were performed to evaluate its behavior as a function of the number of available LR images. The algorithm improves the accuracy of translational registration and accurately recovers HR image even in the case where just very a few input images are provided. This work should be especially useful to professionals in Image Processing, Signal Processing, and Electronics fields, or anyone else who may be considering utilizing Resolution Enhancement. 120 pp. Englisch.…

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Although imaging sensors are the dominant technologies for both user and industry applications, they still have several physical limitations, such as noise and limited spatial resolution. These limitations can be overcome, based on device electronics and physics technology. However, a promising solution is a signal processing approach that has been one of the most active research areas, and it is called Super Resolution (SR). This work proposes SR algorithm that uses an affine block-based with the Maximum Likelihood. A number of experiments were performed with the proposed system to obtain reconstructed High Resolution (HR) images of different resolutions from the same set of Low Resolution (LR) images. Also, a number of experiments were performed to evaluate its behavior as a function of the number of available LR images. The algorithm improves the accuracy of translational registration and accurately recovers HR image even in the case where just very a few input images are provided. This work should be especially useful to professionals in Image Processing, Signal Processing, and Electronics fields, or anyone else who may be considering utilizing Resolution Enhancement.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ismail SaharSahar A. Ismail, is Assistant Professor at Faculty of Engineering, Shoubra, Benha University, Cairo, Egypt. Her research interests include Artificial intelligent, Computer Vision, Image Processing, and Signal Processing.…

Condizione: New. Print on Demand.

Condizione: New. PRINT ON DEMAND.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Although imaging sensors are the dominant technologies for both user and industry applications, they still have several physical limitations, such as noise and limited spatial resolution. These limitations can be overcome, based on device electronics and physics technology. However, a promising solution is a signal processing approach that has been one of the most active research areas, and it is called Super Resolution (SR). This work proposes SR algorithm that uses an affine block-based with the Maximum Likelihood. A number of experiments were performed with the proposed system to obtain reconstructed High Resolution (HR) images of different resolutions from the same set of Low Resolution (LR) images. Also, a number of experiments were performed to evaluate its behavior as a function of the number of available LR images. The algorithm improves the accuracy of translational registration and accurately recovers HR image even in the case where just very a few input images are provided. This work should be especially useful to professionals in Image Processing, Signal Processing, and Electronics fields, or anyone else who may be considering utilizing Resolution Enhancement.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 120 pp. Englisch.…

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 120 pp. Spanisch.

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Aunque los sensores de imagen son la tecnología predominante tanto en aplicaciones de consumo como industriales, siguen presentando varias limitaciones físicas, como el ruido y una resolución espacial limitada. Estas limitaciones pueden superarse mediante la electrónica de los dispositivos y la tecnología física. Sin embargo, una solución prometedora es un enfoque de procesamiento de señales que ha sido uno de los campos de investigación más activos, conocido como 'superresolución' (SR). Este trabajo propone un algoritmo de SR que utiliza un método afín basado en bloques junto con el método de máxima verosimilitud. Se llevaron a cabo varios experimentos con el sistema propuesto para obtener imágenes reconstruidas de alta resolución (HR) de diferentes resoluciones a partir del mismo conjunto de imágenes de baja resolución (LR). Asimismo, se llevaron a cabo varios experimentos para evaluar su comportamiento en función del número de imágenes LR disponibles. El algoritmo mejora la precisión del registro traslacional y recupera con exactitud la imagen HR incluso en el caso de que se proporcionen muy pocas imágenes de entrada. Este trabajo debería resultar especialmente útil para los profesionales de los campos del procesamiento de imágenes, el procesamiento de señales y la electrónica, o para cualquier otra persona que esté considerando utilizar la mejora de la resolución.…

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 120 pp. Französisch.

Taschenbuch. Condizione: Neu. Superresolución | Superresolución | Sahar Ismail (u. a.) | Taschenbuch | Spanisch | 2026 | Ediciones Nuestro Conocimiento | EAN 9786209845550 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.…

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 120 pp. Spanisch.

Paperback. Condizione: new. Paperback. Obwohl Bildsensoren sowohl fuer Verbraucher- als auch fuer Industrieanwendungen die vorherrschende Technologie darstellen, weisen sie nach wie vor einige physikalische Einschraenkungen auf, wie beispielsweise Rauschen und eine begrenzte raeumliche Aufloesung. Diese Einschraenkungen lassen sich mithilfe von Elektronik und physikalischen Technologien ueberwinden. Eine vielversprechende Loesung ist jedoch ein Signalverarbeitungsansatz, der zu den aktivsten Forschungsgebieten zaehlt und als Superaufloesung (SR) bezeichnet wird. In dieser Arbeit wird ein SR-Algorithmus vorgeschlagen, der einen affinen blockbasierten Ansatz in Verbindung mit der Maximum-Likelihood-Methode nutzt. Es wurden eine Reihe von Experimenten mit dem vorgeschlagenen System durchgefuehrt, um rekonstruierte hochaufloesende (HR) Bilder mit unterschiedlichen Aufloesungen aus demselben Satz von niedrigaufloesenden (LR) Bildern zu erhalten. Zudem wurden mehrere Experimente durchgefuehrt, um das Verhalten des Algorithmus in Abhaengigkeit von der Anzahl der verfuegbaren LR-Bilder zu bewerten. Der Algorithmus verbessert die Genauigkeit der translatorischen Registrierung und stellt HR-Bilder selbst dann praezise wieder her, wenn nur sehr wenige Eingabebilder zur Verfuegung stehen. Diese Arbeit duerfte insbesondere fuer Fachleute in den Bereichen Bildverarbeitung, Signalverarbeitung und Elektronik sowie fuer alle anderen von Nutzen sein, die den Einsatz von Aufloesungsverbesserung in Betracht ziehen. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …