Matches in SemOpenAlex for { <https://semopenalex.org/work/W2909393488> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W2909393488 endingPage "246" @default.
- W2909393488 startingPage "241" @default.
- W2909393488 abstract "Objective Image Quality Metrics (IQMs) are introduced with the goal of modeling the perceptual quality scores given by observers to an image. In this study we use a pre-trained Convolutional Neural Network (CNN) model to extract feature maps at different convolutional layers of the test and reference image. We then compare the feature maps using traditional IQMs such as: SSIM, MSE, and PSNR. Experimental results on four benchmark datasets show that our proposed approach can increase the accuracy of these IQMs by an average of 23%. Compared to I I other state-of-the-art IQMs, our proposed approach can either outperform or perform as good as the mentioned I I metrics. We can show that by linking traditional IQMs and pre-trained CNN models we are able to evaluate image quality with a high accuracy." @default.
- W2909393488 created "2019-01-25" @default.
- W2909393488 creator A5010658612 @default.
- W2909393488 creator A5024248038 @default.
- W2909393488 creator A5088359880 @default.
- W2909393488 date "2018-11-12" @default.
- W2909393488 modified "2023-09-24" @default.
- W2909393488 title "Reviving Traditional Image Quality Metrics Using CNNs" @default.
- W2909393488 cites W1960552 @default.
- W2909393488 cites W1963882359 @default.
- W2909393488 cites W1970383695 @default.
- W2909393488 cites W1972879197 @default.
- W2909393488 cites W1991329314 @default.
- W2909393488 cites W2007350248 @default.
- W2909393488 cites W2026139930 @default.
- W2909393488 cites W2051596736 @default.
- W2909393488 cites W2065948983 @default.
- W2909393488 cites W2095776733 @default.
- W2909393488 cites W2108598243 @default.
- W2909393488 cites W2151068906 @default.
- W2909393488 cites W2154683974 @default.
- W2909393488 cites W2161907179 @default.
- W2909393488 cites W2168239376 @default.
- W2909393488 cites W2171349048 @default.
- W2909393488 cites W2193581139 @default.
- W2909393488 cites W2296265007 @default.
- W2909393488 cites W2334882881 @default.
- W2909393488 cites W2566149141 @default.
- W2909393488 cites W2576670953 @default.
- W2909393488 cites W2586275201 @default.
- W2909393488 cites W2731629146 @default.
- W2909393488 cites W299226712 @default.
- W2909393488 cites W3182211633 @default.
- W2909393488 cites W44558019 @default.
- W2909393488 cites W874645128 @default.
- W2909393488 doi "https://doi.org/10.2352/issn.2169-2629.201s.26.241" @default.
- W2909393488 hasPublicationYear "2018" @default.
- W2909393488 type Work @default.
- W2909393488 sameAs 2909393488 @default.
- W2909393488 citedByCount "7" @default.
- W2909393488 countsByYear W29093934882019 @default.
- W2909393488 countsByYear W29093934882022 @default.
- W2909393488 countsByYear W29093934882023 @default.
- W2909393488 crossrefType "journal-article" @default.
- W2909393488 hasAuthorship W2909393488A5010658612 @default.
- W2909393488 hasAuthorship W2909393488A5024248038 @default.
- W2909393488 hasAuthorship W2909393488A5088359880 @default.
- W2909393488 hasConcept C115961682 @default.
- W2909393488 hasConcept C138885662 @default.
- W2909393488 hasConcept C153180895 @default.
- W2909393488 hasConcept C154945302 @default.
- W2909393488 hasConcept C185798385 @default.
- W2909393488 hasConcept C205649164 @default.
- W2909393488 hasConcept C2776401178 @default.
- W2909393488 hasConcept C41008148 @default.
- W2909393488 hasConcept C41895202 @default.
- W2909393488 hasConcept C55020928 @default.
- W2909393488 hasConcept C58640448 @default.
- W2909393488 hasConcept C81363708 @default.
- W2909393488 hasConceptScore W2909393488C115961682 @default.
- W2909393488 hasConceptScore W2909393488C138885662 @default.
- W2909393488 hasConceptScore W2909393488C153180895 @default.
- W2909393488 hasConceptScore W2909393488C154945302 @default.
- W2909393488 hasConceptScore W2909393488C185798385 @default.
- W2909393488 hasConceptScore W2909393488C205649164 @default.
- W2909393488 hasConceptScore W2909393488C2776401178 @default.
- W2909393488 hasConceptScore W2909393488C41008148 @default.
- W2909393488 hasConceptScore W2909393488C41895202 @default.
- W2909393488 hasConceptScore W2909393488C55020928 @default.
- W2909393488 hasConceptScore W2909393488C58640448 @default.
- W2909393488 hasConceptScore W2909393488C81363708 @default.
- W2909393488 hasIssue "1" @default.
- W2909393488 hasLocation W29093934881 @default.
- W2909393488 hasOpenAccess W2909393488 @default.
- W2909393488 hasPrimaryLocation W29093934881 @default.
- W2909393488 hasRelatedWork W2175746458 @default.
- W2909393488 hasRelatedWork W2319888919 @default.
- W2909393488 hasRelatedWork W2732542196 @default.
- W2909393488 hasRelatedWork W2760085659 @default.
- W2909393488 hasRelatedWork W2949389737 @default.
- W2909393488 hasRelatedWork W2963556241 @default.
- W2909393488 hasRelatedWork W3013138473 @default.
- W2909393488 hasRelatedWork W3018421652 @default.
- W2909393488 hasRelatedWork W3093612317 @default.
- W2909393488 hasRelatedWork W3109429904 @default.
- W2909393488 hasVolume "26" @default.
- W2909393488 isParatext "false" @default.
- W2909393488 isRetracted "false" @default.
- W2909393488 magId "2909393488" @default.
- W2909393488 workType "article" @default.