Visual Quality Assessment for Natural and Medical Image

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.

Comprehensively presents all aspects of image quality assessment (IQA) Discusses IQA of stereoscopic (3D) images and medical images based on human visual system properties and natural scene statistics Offers a valuable handbook for university students, industrial R&D engineers, and researchers in the field of visual quality assessment

Autorentext
Yong Ding, an Associate Professor of the College of Information Science & Electronic Engineering, Zhejiang University. He had been a Senior Engineer in R & D Center of Hisense from 2000 to 2006 and a Senior Project Leader of Architecture Design Department in Ominivision from 2006 to 2008, respectively. Besides, he has been a Visiting Scholar at Moscow Lomonosov State University, Russia, in 2011, and at Illinois Institute of Technology, USA, from 2015 to 2016.His research interests concentrate on image/video quality assessment, biomedical image processing and intelligent diagnosis. He takes charge of several projects supported by Chinese government including National High Technology Program (863), National Science & Technology Support Program, National Science and Technology Major Project, etc. Up to now, he has authored more than 80 papers at Journals and made several plenary or invited talks on international conferences. He holds more than 40 Chinese patents with 25 patents being authorized. He acts as a invited reviewer of several famous international publishes and a reviewer or TPC member of some international conferences.

Inhalt
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.