Comparison of Full-Reference Image Quality Models for Optimization of Image Processing Systems

The performance of objective image quality assessment (IQA) models has been evaluated primarily by comparing model predictions to human quality judgments. Perceptual datasets gathered for this purpose have provided useful benchmarks for improving IQA methods, but their heavy use creates a risk of ov...

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Vydané v:	International journal of computer vision Ročník 129; číslo 4; s. 1258 - 1281
Hlavní autori:	Ding, Keyan, Ma, Kede, Wang, Shiqi, Simoncelli, Eero P.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.04.2021 Springer Springer Nature B.V
Predmet:	Algorithms Artificial Intelligence Artificial neural networks Compression tests Computer Imaging Computer Science Equipment and supplies Image compression Image processing Image Processing and Computer Vision Image quality Neural networks Noise reduction Optimization Pattern Recognition Pattern Recognition and Graphics Quality assessment Special Issue on Performance Evaluation in Computer Vision Vision Performance evaluation Image quality assessment Perceptual optimization
ISSN:	0920-5691, 1573-1405
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