A Combined Full-Reference Image Quality Assessment Method Based on Convolutional Activation Maps
The goal of full-reference image quality assessment (FR-IQA) is to predict the perceptual quality of an image as perceived by human observers using its pristine (distortion free) reference counterpart. In this study, we explore a novel, combined approach which predicts the perceptual quality of a di...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-11-01
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| Series: | Algorithms |
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| Online Access: | https://www.mdpi.com/1999-4893/13/12/313 |