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Autor: Andre Bigand
ISBN-13: 9783319735429
Einband: Book
Seiten: 88
Gewicht: 177 g
Format: 236x156x10 mm
Sprache: Englisch

Image Quality Assessment of Computer-generated Images

SpringerBriefs in Computer Science
Based on Machine Learning and Soft Computing
53,49 €*
Enriches understanding of Image Quality Assessment
Introduction.- Monte-Carlo Methods for Image Synthesis.- Visual Impact of Rendering on Image Quality.- Full-reference Methods and Machine Learning.- No-reference Methods and Fuzzy Sets.- Reduced-reference Methods.- Conclusion.
In this book, we first clarify the differences between natural scene images and computer-generated images, and address the problem of Image Quality Assessment (IQA) by focusing on the visual perception of noise. Rather than using known perceptual models, we first investigate the use of soft computing approaches, classically used in Artificial Intelligence, as full-reference and reduced-reference metrics. Thus, by creating Learning Machines, such as SVMs and RVMs, we can assess the perceptual quality of a computer-generated image. We also investigate the use of interval-valued fuzzy sets as a no-reference metric.

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Autor: Andre Bigand
ISBN-13:: 9783319735429
ISBN: 331973542X
Erscheinungsjahr: 24.04.2018
Verlag: Springer-Verlag GmbH
Gewicht: 177g
Seiten: 88
Sprache: Englisch
Auflage 2018
Sonstiges: Taschenbuch, 236x156x10 mm, Bibliographie