首页 | 本学科首页   官方微博 | 高级检索  
     


Subjective and objective quality assessment for image restoration: A critical survey
Affiliation:1. School of Computer Engineering, Nanyang Technological University, 639798, Singapore;2. School of Information Technology, Jiangxi University of Finance and Economics, Nanchang 330032, Jiangxi, China;1. Working Group Computational Data Analysis, Universität Bremen, Fachbereich 3, Postfach 330440, 28334 Bremen, Germany;2. Fraunhofer Heinrich Hertz Institute (Fraunhofer HHI), 10587 Berlin, Germany;3. Department of Mathematics, Technische Universität Berlin, 10623 Berlin, Germany;4. Image Communication Laboratory, Berlin Institute of Technology, 10587 Berlin, Germany;1. Department of Electronics and Communication, Chandigarh Group of College, Punjab, India;2. Department of Computer Science and Engineering, Panjab University, India;1. College of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China;2. Department of Electronic and Electrical Engineering, the University of Sheffield, Sheffield S1 3JD, UK;3. Department of Computer Science and Digital Technologies, Northumbria University, Newcastle upon Tyne NE1 8ST, UK;4. Department of Electronic and Computer Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Durian Tunggal, Melaka 76100, Malaysia
Abstract:
Keywords:Image restoration  Subjective quality databases  Objective quality metrics  Parameter selection  Benchmarking image restoration algorithms
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号