Produkte zum Begriff Bildoptimierung:
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Digital Image Processing, Global Edition
For courses in Image Processing and Computer Vision.For years, Image Processing has been the foundational text for the study of digital image processing. The book is suited for students at the college senior and first-year graduate level with prior background in mathematical analysis, vectors, matrices, probability, statistics, linear systems, and computer programming. As in all earlier editions, the focus of this edition of the book is on fundamentals.The 4th Edition is based on an extensive survey of faculty, students, and independent readers in 5 institutions from 3 countries. Their feedback led to epanded or new coverage of topics such as deep learning and deep neural networks, including convolutional neural nets, the scale-invariant feature transform (SIFT), maimally-stable etremal regions (MSERs), graph cuts, k-means clustering and superpiels, active contours (snakes and level sets), and eact histogram matching. Major improvements were made in reorganising the material on image transforms into a more cohesive presentation, and in the discussion of spatial kernels and spatial filtering.
Preis: 90.94 € | Versand*: 0 € -
Digital Image Processing, Global Edition
The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed. For courses in Image Processing and Computer Vision. For years, Image Processing has been the foundational text for the study of digital image processing. The book is suited for students at the college senior and first-year graduate level with prior background in mathematical analysis, vectors, matrices, probability, statistics, linear systems, and computer programming. As in all earlier editions, the focus of this edition of the book is on fundamentals. The 4th Edition is based on an extensive survey of faculty, students, and independent readers in 5 institutions from 3 countries. Their feedback led to expanded or new coverage of topics such as deep learning and deep neural networks, including convolutional neural nets, the scale-invariant feature transform (SIFT), MERS, graph cuts, k-means clustering and superpiels, active contours (snakes and level sets), and each histogram matching. Major improvements were made in reorganising the material on image transforms into a more cohesive presentation, and in the discussion of spatial kernels and spatial filtering. Major revisions and additions were made to examples and homework exercises throughout the book.
Preis: 53.49 € | Versand*: 0 € -
Digital Signal Processing
Modern coverage of the fundamentals, implementation and applications of digital signal processing techniques from a practical point of view.The past ten years has seen a significant growth in DSP applications throughout all areas of technology and this growth is expected well into the next millennium. This successful textbook covers most aspects of DSP found in undergraduate electrical, electronic or communications engineering courses. Unlike many other texts, it also covers a number of DSP techniques which are of particular relevance to industry such as adaptive filtering and multirate processing. The emphasis throughout the book is on the practical aspects of DSP.
Preis: 75.96 € | Versand*: 0 € -
Digital Video Processing
Over the years, thousands of engineering students and professionals relied on Digital Video Processing as the definitive, in-depth guide to digital image and video processing technology. Now, Dr. A. Murat Tekalp has completely revamped the first edition to reflect today’s technologies, techniques, algorithms, and trends. Digital Video Processing, Second Edition, reflects important advances in image processing, computer vision, and video compression, including new applications such as digital cinema, ultra-high-resolution video, and 3D video. This edition offers rigorous, comprehensive, balanced, and quantitative coverage of image filtering, motion estimation, tracking, segmentation, video filtering, and compression. Now organized and presented as a true tutorial, it contains updated problem sets and new MATLAB projects in every chapter. Coverage includes Multi-dimensional signals/systems: transforms, sampling, and lattice conversion Digital images and video: human vision, analog/digital video, and video quality Image filtering: gradient estimation, edge detection, scaling, multi-resolution representations, enhancement, de-noising, and restoration Motion estimation: image formation; motion models; differential, matching, optimization, and transform-domain methods; and 3D motion and shape estimation Video segmentation: color and motion segmentation, change detection, shot boundary detection, video matting, video tracking, and performance evaluation Multi-frame filtering: motion-compensated filtering, multi-frame standards conversion, multi-frame noise filtering, restoration, and super-resolution Image compression: lossless compression, JPEG, wavelets, and JPEG2000 Video compression: early standards, ITU-T H.264/MPEG-4 AVC, HEVC, Scalable Video Compression, and stereo/multi-view approaches
Preis: 97.36 € | Versand*: 0 €
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Wie kann ich die Bildoptimierung in Windows Fotos deaktivieren?
Um die Bildoptimierung in Windows Fotos zu deaktivieren, öffnen Sie die App und klicken Sie auf das Symbol mit den drei Punkten in der oberen rechten Ecke. Wählen Sie dann "Einstellungen" aus und suchen Sie nach der Option "Automatische Verbesserungen anwenden". Deaktivieren Sie diese Option, um die Bildoptimierung zu deaktivieren.
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"Was sind die grundlegenden Schritte zur Bildoptimierung für die Verwendung in digitalen Medien?"
1. Zuerst sollte das Bild in der richtigen Auflösung für den jeweiligen Verwendungszweck gespeichert werden. 2. Anschließend können Kontrast, Helligkeit und Farbsättigung angepasst werden, um das Bild ansprechender zu gestalten. 3. Zum Schluss sollte das Bild für das Web optimiert werden, indem es komprimiert und in einem geeigneten Dateiformat gespeichert wird.
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Welche Methoden zur Bildoptimierung eignen sich besonders gut, um die Bildqualität für Webseiten oder soziale Medien zu verbessern, ohne dabei die Ladezeiten zu beeinträchtigen?
Die Verwendung von Bildkomprimierungstools wie TinyPNG oder JPEGmini reduziert die Dateigröße, ohne die Qualität zu beeinträchtigen. Das Anpassen der Bildgröße auf die tatsächliche Anzeigegröße auf der Webseite hilft ebenfalls, die Ladezeiten zu verbessern. Die Verwendung von Lazy Loading-Techniken sorgt dafür, dass Bilder nur geladen werden, wenn sie im sichtbaren Bereich des Nutzers sind.
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Wie kann man Fotos bearbeiten, um ihre Qualität und Wirkung zu verbessern? Gibt es bewährte Methoden zur Bildoptimierung für verschiedene Zwecke?
Man kann Fotos bearbeiten, indem man die Belichtung, den Kontrast, die Sättigung und die Schärfe anpasst. Außerdem kann man störende Elemente entfernen und das Bild zuschneiden. Für verschiedene Zwecke wie Social Media, Druck oder Webseiten gibt es spezifische Anpassungen, die die Qualität und Wirkung des Fotos verbessern können.
Ähnliche Suchbegriffe für Bildoptimierung:
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Digital Video Processing
Over the years, thousands of engineering students and professionals relied on Digital Video Processing as the definitive, in-depth guide to digital image and video processing technology. Now, Dr. A. Murat Tekalp has completely revamped the first edition to reflect today’s technologies, techniques, algorithms, and trends. Digital Video Processing, Second Edition, reflects important advances in image processing, computer vision, and video compression, including new applications such as digital cinema, ultra-high-resolution video, and 3D video. This edition offers rigorous, comprehensive, balanced, and quantitative coverage of image filtering, motion estimation, tracking, segmentation, video filtering, and compression. Now organized and presented as a true tutorial, it contains updated problem sets and new MATLAB projects in every chapter. Coverage includes Multi-dimensional signals/systems: transforms, sampling, and lattice conversion Digital images and video: human vision, analog/digital video, and video quality Image filtering: gradient estimation, edge detection, scaling, multi-resolution representations, enhancement, de-noising, and restoration Motion estimation: image formation; motion models; differential, matching, optimization, and transform-domain methods; and 3D motion and shape estimation Video segmentation: color and motion segmentation, change detection, shot boundary detection, video matting, video tracking, and performance evaluation Multi-frame filtering: motion-compensated filtering, multi-frame standards conversion, multi-frame noise filtering, restoration, and super-resolution Image compression: lossless compression, JPEG, wavelets, and JPEG2000 Video compression: early standards, ITU-T H.264/MPEG-4 AVC, HEVC, Scalable Video Compression, and stereo/multi-view approaches
Preis: 97.36 € | Versand*: 0 € -
Digital Signal Processing
A significant revision of a best-selling text for the introductory digital signal processing course. This book presents the fundamentals of discrete-time signals, systems, and modern digital processing and applications for students in electrical engineering, computer engineering, and computer science.The book is suitable for either a one-semester or a two-semester undergraduate level course in discrete systems and digital signal processing. It is also intended for use in a one-semester first-year graduate-level course in digital signal processing. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.
Preis: 53.49 € | Versand*: 0 € -
Digital Image Processing, Global Edition (Gonzalez, Rafael C.~Woods, Richard E.)
Digital Image Processing, Global Edition , For courses in Image Processing and Computer Vision. Introduce your students to image processing with the industry's most prized text For 40 years, Image Processing has been the foundational text for the study of digital image processing. The book is suited for students at the college senior and first-year graduate level with prior background in mathematical analysis, vectors, matrices, probability, statistics, linear systems, and computer programming. As in all earlier editions, the focus of this edition of the book is on fundamentals. The 4th Edition, which celebrates the book's 40th anniversary, is based on an extensive survey of faculty, students, and independent readers in 150 institutions from 30 countries. Their feedback led to expanded or new coverage of topics such as deep learning and deep neural networks, including convolutional neural nets, the scale-invariant feature transform (SIFT), maximally-stable extremal regions (MSERs), graph cuts, k-means clustering and superpixels, active contours (snakes and level sets), and exact histogram matching. Major improvements were made in reorganizing the material on image transforms into a more cohesive presentation, and in the discussion of spatial kernels and spatial filtering. Major revisions and additions were made to examples and homework exercises throughout the book. , > , Auflage: 4th edition, Erscheinungsjahr: 20180428, Produktform: Kartoniert, Autoren: Gonzalez, Rafael C.~Woods, Richard E., Auflage: 18004, Auflage/Ausgabe: 4th edition, Seitenzahl/Blattzahl: 1024, Fachschema: Bildbearbeitung~Bildverarbeitung~Grafik (EDV) / Bildverarbeitung, Fachkategorie: Bildverarbeitung, Imprint-Titels: Pearson Higher Education, Warengruppe: HC/Informatik, Fachkategorie: Elektrotechnik, Thema: Verstehen, Text Sprache: eng, UNSPSC: 49019900, Warenverzeichnis für die Außenhandelsstatistik: 49019900, Verlag: Pearson, Verlag: Pearson, Verlag: Pearson Education Limited, Länge: 195, Breite: 234, Höhe: 39, Gewicht: 1606, Produktform: Kartoniert, Genre: Importe, Genre: Importe, Vorgänger EAN: 9780135052679, Katalog: LIB_ENBOOK, Katalog: Gesamtkatalog, Katalog: Internationale Lagertitel, Katalog: internationale Titel, Katalog: Lagerartikel, Book on Demand, ausgew. Medienartikel, Relevanz: 0004, Tendenz: -1, Unterkatalog: AK, Unterkatalog: Bücher, Unterkatalog: Hardcover, Unterkatalog: Lagerartikel,
Preis: 84.74 € | Versand*: 0 € -
Digital Negative, The: Raw Image Processing in Lightroom, Camera Raw, and Photoshop
Shooting in the raw format gives digital photographers complete control over every aspect of image quality. The Digital Negative: Raw Image Processing in Lightroom, Camera Raw, and Photoshop is devoted exclusively to the topic and shows you how to make the most of that control. Now that raw image processing technology has matured as an essential aspect of digital photography, you need a modern book that takes a seasoned approach to the technology and explains the advantages and challenges of using Lightroom or Camera Raw to produce magnificent images.Renowned photographer and bestselling author Jeff Schewe outlines a foolproof process for working with these digital negatives and presents his real-world expertise on optimizing raw images. You’ll also learn hands-on techniques for exposing and shooting for raw image capture and developing a raw processing workflow, as well as Photoshop techniques for perfecting the master image, converting color to black and white, and processing for panoramic and HDR images.Get the best tone and color from your digital negatives.Use Lightroom and Camera Raw sharpening controls to maximize image quality.Take advantage of Photoshop to do what Lightroom and Camera Raw can’t.Produce stunning black-and-white images.Visit the book’s companion website at TheDigitalNegativeBook.com for sample images and more!
Preis: 19.25 € | Versand*: 0 €
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Wie können Bilder mithilfe von Bildverbesserungstechniken bearbeitet werden, um die Qualität und Ästhetik zu verbessern? Was sind die verschiedenen Methoden zur Bildoptimierung?
Bilder können mithilfe von Bildverbesserungstechniken wie Kontrastanpassung, Farbkorrektur und Schärfung bearbeitet werden, um die Qualität und Ästhetik zu verbessern. Zu den verschiedenen Methoden zur Bildoptimierung gehören auch Retusche, Filteranwendung und Helligkeitsanpassung. Durch Kombination dieser Techniken können Bilder professionell bearbeitet und verbessert werden.
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Wie kann man Bilder effektiv optimieren, um die Qualität und Präsentation zu verbessern? Welche Tools und Techniken eignen sich für die Bildoptimierung?
Bilder können effektiv optimiert werden, indem man die Auflösung und Größe anpasst, den Kontrast und die Helligkeit optimiert und störende Elemente entfernt. Tools wie Adobe Photoshop, GIMP und Canva bieten umfangreiche Funktionen zur Bildoptimierung, während Techniken wie das Schärfen, das Retuschieren und das Farbkorrektur auch zur Verbesserung der Qualität und Präsentation beitragen können. Es ist wichtig, die richtigen Tools und Techniken je nach Bedarf und Ziel des Bildes auszuwählen, um das bestmögliche Ergebnis zu erzielen.
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Wie können Bilder effektiv und qualitativ hochwertig optimiert werden, um ihre visuelle Wirkung zu verbessern? Was sind die besten Methoden zur Bildoptimierung, um die Dateigröße zu reduzieren, ohne dabei die Bildqualität zu beeinträchtigen?
Bilder können effektiv optimiert werden, indem sie auf die richtige Größe skaliert, komprimiert und mit den richtigen Metadaten versehen werden. Die Verwendung von Bildformaten wie JPEG oder PNG und die Reduzierung der Farbtiefe können die Dateigröße reduzieren, ohne die Bildqualität zu beeinträchtigen. Außerdem können Tools wie Photoshop oder Online-Komprimierungsdienste verwendet werden, um die Bildqualität zu optimieren und die Dateigröße zu minimieren.
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Wie kann man Bilder so optimieren, dass sie die bestmögliche Qualität und Auflösung haben? Welche Tools und Techniken eignen sich am besten für die Bildoptimierung?
Bilder können optimiert werden, indem sie in einem verlustfreien Format wie PNG oder TIFF gespeichert werden, um die bestmögliche Qualität zu erhalten. Die Auflösung kann durch die Verwendung von Bildbearbeitungsprogrammen wie Adobe Photoshop oder GIMP verbessert werden. Zudem können Tools wie TinyPNG oder JPEGmini verwendet werden, um die Dateigröße zu reduzieren, ohne die Qualität zu beeinträchtigen.
* Alle Preise verstehen sich inklusive der gesetzlichen Mehrwertsteuer und ggf. zuzüglich Versandkosten. Die Angebotsinformationen basieren auf den Angaben des jeweiligen Shops und werden über automatisierte Prozesse aktualisiert. Eine Aktualisierung in Echtzeit findet nicht statt, so dass es im Einzelfall zu Abweichungen kommen kann.