No-reference local image quality evaluation
Author:
Affiliation:
1. University of Belgrade,School of Electrical Engineering (ETF),Belgrade,Serbia,11120
2. Faculty of Transport and Traffic Engineering,Belgrade,Serbia,11000
3. United Institute of Informatics Problems,Minsk,Belarus
Funder
Ministry of Education
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9983661/9983662/09983762.pdf?arnumber=9983762
Reference21 articles.
1. Perceptual blur and ringing metrics: application to JPEG2000
2. Detection of blocking artifacts in compressed video
3. Regression or classification? New methods to evaluate no-reference picture and video quality models
4. DeepFL-IQA: Weak supervision for deep IQA feature learning;lin,2020
5. A Feature-Enriched Completely Blind Image Quality Evaluator
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1. No-Reference Image Quality Assessment Based on Machine Learning and Outlier Entropy Samples;Pattern Recognition and Image Analysis;2024-06
2. Quadratic fitting model in no-reference image quality assessment;Telfor Journal;2023
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