Image Quality Assessment of Computer-generated Images

Based on Machine Learning and Soft Computing

Nonfiction, Computers, Advanced Computing, Engineering, Computer Vision, Artificial Intelligence, General Computing
Cover of the book Image Quality Assessment of Computer-generated Images by André Bigand, Julien Dehos, Christophe Renaud, Joseph Constantin, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: André Bigand, Julien Dehos, Christophe Renaud, Joseph Constantin ISBN: 9783319735436
Publisher: Springer International Publishing Publication: March 9, 2018
Imprint: Springer Language: English
Author: André Bigand, Julien Dehos, Christophe Renaud, Joseph Constantin
ISBN: 9783319735436
Publisher: Springer International Publishing
Publication: March 9, 2018
Imprint: Springer
Language: English

Image Quality Assessment is well-known for measuring the perceived image degradation of natural scene images but is still an emerging topic for computer-generated images. This book addresses this problem and presents recent advances based on soft computing. It is aimed at students, practitioners and researchers in the field of image processing and related areas such as computer graphics and visualization.

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.

These approaches are treated both theoretically and practically, for the complete process of IQA. The learning step is performed using a database built from experiments with human users and the resulting models can be used for any image computed with a stochastic rendering algorithm. This can be useful for detecting the visual convergence of the different parts of an image during the rendering process, and thus to optimize the computation. These models can also be extended to other applications that handle complex models, in the fields of signal processing and image processing.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Image Quality Assessment is well-known for measuring the perceived image degradation of natural scene images but is still an emerging topic for computer-generated images. This book addresses this problem and presents recent advances based on soft computing. It is aimed at students, practitioners and researchers in the field of image processing and related areas such as computer graphics and visualization.

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.

These approaches are treated both theoretically and practically, for the complete process of IQA. The learning step is performed using a database built from experiments with human users and the resulting models can be used for any image computed with a stochastic rendering algorithm. This can be useful for detecting the visual convergence of the different parts of an image during the rendering process, and thus to optimize the computation. These models can also be extended to other applications that handle complex models, in the fields of signal processing and image processing.

More books from Springer International Publishing

Cover of the book Artificial Intelligence Techniques for Rational Decision Making by André Bigand, Julien Dehos, Christophe Renaud, Joseph Constantin
Cover of the book Utility Communication Networks and Services by André Bigand, Julien Dehos, Christophe Renaud, Joseph Constantin
Cover of the book Nausea and Vomiting by André Bigand, Julien Dehos, Christophe Renaud, Joseph Constantin
Cover of the book Algorithms and Architectures for Parallel Processing by André Bigand, Julien Dehos, Christophe Renaud, Joseph Constantin
Cover of the book Handbook of Quantifiers in Natural Language: Volume II by André Bigand, Julien Dehos, Christophe Renaud, Joseph Constantin
Cover of the book Corporatizing Rural Education by André Bigand, Julien Dehos, Christophe Renaud, Joseph Constantin
Cover of the book Rethinking Fisheries Governance by André Bigand, Julien Dehos, Christophe Renaud, Joseph Constantin
Cover of the book An Axiomatic Approach to Geometry by André Bigand, Julien Dehos, Christophe Renaud, Joseph Constantin
Cover of the book Advanced Topics in Nonsmooth Dynamics by André Bigand, Julien Dehos, Christophe Renaud, Joseph Constantin
Cover of the book Philosophico-Methodological Analysis of Prediction and its Role in Economics by André Bigand, Julien Dehos, Christophe Renaud, Joseph Constantin
Cover of the book The Dynamics of Iranian Borders by André Bigand, Julien Dehos, Christophe Renaud, Joseph Constantin
Cover of the book Advances in NMR Spectroscopy for Lipid Oxidation Assessment by André Bigand, Julien Dehos, Christophe Renaud, Joseph Constantin
Cover of the book Tactics and Procurement in the Habsburg Military, 1866-1918 by André Bigand, Julien Dehos, Christophe Renaud, Joseph Constantin
Cover of the book How School Leaders Contribute to Student Success by André Bigand, Julien Dehos, Christophe Renaud, Joseph Constantin
Cover of the book Palaeobiology of Middle Paleozoic Marine Brachiopods by André Bigand, Julien Dehos, Christophe Renaud, Joseph Constantin
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy