Visual Quality Assessment for Natural and Medical Image

• Main Author: Ding, Yong (Author, http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Subjects: Signal processing.; Image processing.; Speech processing systems.; Optical data processing.; Computers.; Applied mathematics.; Engineering mathematics.; Signal, Image and Speech Processing.; Image Processing and Computer Vision.; Information Systems and Communication Service.; Mathematical and Computational Engineering.

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...

Table of Contents:

• 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.