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No-Reference Image Quality Assessment Based on the Fusion of Statistical and Perceptual Features
The goal of no-reference image quality assessment (NR-IQA) is to predict the quality of an image as perceived by human observers without using any pristine, reference images. In this study, an NR-IQA algorithm is proposed which is driven by a novel feature vector containing statistical and perceptua...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321044/ https://www.ncbi.nlm.nih.gov/pubmed/34460690 http://dx.doi.org/10.3390/jimaging6080075 |