Quality Assessment of Visual Content

This book provides a comprehensive review of image quality assessment technology, particularly applications on screen content images, 3D-synthesized images, sonar images, enhanced images, light-field images, VR images, and super-resolution images. It covers topics such as structural variation analysis, sparse reference information, multiscale natural scene statistical analysis, task and visual perception, contour degradation measurement, spatial angular measurement, local and global assessment metrics, and more. The algorithms have high efficiency and better performance compared to other image quality assessment algorithms, and the results of experiments on real-world images demonstrate their effectiveness. The book aims to facilitate the use of these image quality assessment algorithms by engineers and scientists from various disciplines, serving as a reference for graduate students, front-line researchers, and domain experts.

Format: Hardback
Length: 242 pages
Publication date: 20 October 2022
Publisher: Springer Verlag, Singapore

This comprehensive book delves into the realm of image quality assessment technology, focusing on its applications in diverse areas such as screen content images, 3D-synthesized images, sonar images, enhanced images, light-field images, VR images, and super-resolution images. It encompasses a wide range of topics, including structural variation analysis, sparse reference information, multiscale natural scene statistical analysis, task and visual perception, contour degradation measurement, spatial angular measurement, local and global assessment metrics, and more.

The algorithms presented in this book are highly efficient and outperform other image quality assessment algorithms in terms of performance. The efficacy of these approaches is substantiated through experimental results on real-world images.

The primary objective of this book is to make these image quality assessment algorithms accessible and useful to engineers and scientists from various fields, including optics, electronics, mathematics, photography techniques, and computation techniques. It serves as a valuable reference for graduate students interested in image quality assessment techniques, front-line researchers actively practicing these methods, and domain experts involved in this area or engaged in related application development.

By providing a thorough exploration of image quality assessment technology, this book empowers readers to evaluate and enhance the quality of images in a wide range of applications, ultimately contributing to advancements in various industries and scientific disciplines.

Weight: 559g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811933462
Edition number: 1st ed. 2022