Quality Assessment of Visual Content

Inbunden, Engelska, 2022

AvKe Gu,Hongyan Liu,Chengxu Zhou

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This book provides readers with 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.

Produktinformation

Utgivningsdatum2022-10-20
Mått155 x 235 x undefined mm
FormatInbunden
SpråkEngelska
SerieAdvances in Computer Vision and Pattern Recognition
Antal sidor242
FörlagSpringer Verlag, Singapore
ISBN9789811933462

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Ke Gu is a professor of electronic engineering at Beijing University of Technology. His research interests include image processing, image quality assessment, environmental perception and machine learning. He has published intensively in the domain of image processing and then received the Best Paper Award from the IEEE Transactions on Multimedia, the Best Student Paper Award at the IEEE International Conference on Multimedia and Expo in 2016, and the Excellent Ph.D. Thesis Award from the Chinese Institute of Electronics in 2016. Currently, he is an Associate Editor for Signal Processing Image Communication, Displays, Entropy, IEEE ACCESS and IET Image Processing, and he is a Reviewer for more than 20 top SCI journals.Hongyan Liu received the B.S. degree in Automation at Beijing University of Technology in 2021. She is currently working toward the Ph.D. degree at Beijing University of Technology. Her research focuses on environmental perception and machine learning.Chengxu Zhou is an associate professor at Liaoning University of Technology. She is currently working toward the Ph.D. degree at Beijing University of Technology. Her research focuses on image processing, image quality assessment and machine learning.

Chapter 1. Introduction.- Chapter 2. Quality Assessment of Screen Content Images.- Chapter 3. Quality Assessment of 3D-Synthesized Images.- Chapter 4. Quality Assessment of Sonar Images.- Chapter 5. Quality Assessment of Enhanced Images.- Chapter 6. Quality Assessment of Light-Field Image.- Chapter 7. Quality Assessment of Virtual Reality Images.- Chapter 8. Quality Assessment of Super-Resolution Images.