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Product details:
- ISBN 10: 3319735438
- ISBN 13: 9783319735436
- Author: André Bigand
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.
Table of contents:
1. Introduction
2. Monte Carlo Methods for Image Synthesis
3. Visual Impact of Rendering on Image Quality
4. Full-Reference Methods and Machine Learning
5. Reduced-Reference Methods
6. No-Reference Methods and Fuzzy Sets
7. General Conclusion and Perspectives
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