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Efficient Evaluation of Image Quality via Deep-Learning Approximation of Perceptual Metrics.
Alessandro Artusi
Francesco Banterle
Fabio Carrara
Alejandro Moreo
Published in:
IEEE Trans. Image Process. (2020)
Keyphrases
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image quality
deep learning
human visual system
image quality metrics
quality assessment
image data
unsupervised learning
perceptual image quality
high quality
unsupervised feature learning
information retrieval
bit rate
visual quality
image fidelity
learning algorithm
pattern recognition