Description: Image Quality Assessment of Computer-Generated Images : Based on Machine Learning and Soft Computing, Paperback by Bigand, Andre; Dehos, Julien; Renaud, Christophe; Constantin, Joseph, ISBN 331973542X, ISBN-13 9783319735429, Brand New, Free shipping in the US
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.
Price: 63.72 USD
Location: Jessup, Maryland
End Time: 2025-01-23T18:05:12.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 14 Days
Refund will be given as: Money Back
Return policy details:
Book Title: Image Quality Assessment of Computer-Generated Images : Based on
Number of Pages: Xiv, 88 Pages
Language: English
Publication Name: Image Quality Assessment of Computer-Generated Images : Based on Machine Learning and Soft Computing
Publisher: Springer International Publishing A&G
Publication Year: 2018
Subject: Intelligence (Ai) & Semantics, Image Processing, Data Processing, Computer Vision & Pattern Recognition
Item Weight: 60.2 Oz
Type: Textbook
Author: Andre Bigand, Joseph Constantin, Julien Dehos, Christophe Renaud
Subject Area: Computers
Item Length: 9.3 in
Series: Springerbriefs in Computer Science Ser.
Item Width: 6.1 in
Format: Trade Paperback
