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Visual Quality Assessment for Natural and Medical Image / by Yong Ding.

Ding, Yong. author.
2018
TK7882.S65
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Title
Visual Quality Assessment for Natural and Medical Image / by Yong Ding.
Author
Ding, Yong. author.
ISBN
9783662564974
3662564971
9783662564950
3662564955
DOI
https://doi.org/10.1007/978-3-662-56497-4
Published
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2018.
Language
English
Description
1 online resource (X, 272 pages) : illustrations.
Item Number
10.1007/978-3-662-56497-4 doi
Call Number
TK7882.S65
Dewey Decimal Classification
621.36/7
Summary
Image quality assessment (IQA) is an essential technique in the design of modern, large-scale image and video processing systems. This book introduces and discusses in detail topics related to IQA, including the basic principles of subjective and objective experiments, biological evidence for image quality perception, and recent research developments. In line with recent trends in imaging techniques and to explain the application-specific utilization, it particularly focuses on IQA for stereoscopic (3D) images and medical images, rather than on planar (2D) natural images. In addition, a wealth of vivid, specific figures and formulas help readers deepen their understanding of fundamental and new applications for image quality assessment technology. This book is suitable for researchers, clinicians and engineers as well as students working in related disciplines, including imaging, displaying, image processing, and storage and transmission. By reviewing and presenting the latest advances, and new trends and challenges in the field, it benefits researchers and industrial R&D engineers seeking to implement image quality assessment systems for specific applications or design/optimize image/video processing algorithms.
Bibliography, etc. Note
Includes bibliographical references and index.
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Access limited to authorized users.
Digital File Characteristics
text file PDF
Available in Other Form
Print version: 9783662564950
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Introduction
Subjective Image Quality Assessment
Human Visual System and Vision Modeling
General Framework of Image Quality Assessment
Image Quality Assessment Based on Human Visual System Properties
Image Quality Assessment Based on Natural Scene Statistics
Stereoscopic Image Quality Assessment
Medical Image Quality Assessment
Challenge Issues and Future Work.

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