dc.contributor.author | Ahmed, Tawsin Uddin | |
dc.contributor.author | Amirshahi, Seyed Ali | |
dc.contributor.author | Pedersen, Marius | |
dc.date.accessioned | 2024-06-07T11:46:43Z | |
dc.date.available | 2024-06-07T11:46:43Z | |
dc.date.created | 2024-01-12T11:42:27Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | IS&T International Symposium on Electronic Imaging Science and Technology. 2023, 35 . | en_US |
dc.identifier.issn | 2470-1173 | |
dc.identifier.uri | https://hdl.handle.net/11250/3133101 | |
dc.description.abstract | Most cameras use a single-sensor arrangement with Color Filter Array (CFA). Color interpolation techniques performed during image demosaicing are normally the reason behind visual artifacts generated in a captured image. While the severity of the artifacts depends on the demosaicing methods used, the artifacts themselves are mainly zipper artifacts (block artifacts across the edges) and false-color distortions. In this study and to evaluate the performance of demosaicing methods, a subjective pair-comparison method with 15 observers was performed on six different methods (namely Nearest Neighbours, Bilinear interpolation, Laplacian, Adaptive Laplacian, Smooth hue transition, and Gradient-Based image interpolation) and nine different scenes. The subjective scores and scene images are then collected as a dataset and used to evaluate a set of no-reference image quality metrics. Assessment of the performance of these image quality metrics in terms of correlation with the subjective scores show that many of the evaluated no-reference metrics cannot predict perceived image quality. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Society for Imaging Sciences and Technology | en_US |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | Image Demosaicing: subjective analysis and evaluation of image quality metrics | en_US |
dc.title.alternative | Image Demosaicing: subjective analysis and evaluation of image quality metrics | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | publishedVersion | en_US |
dc.source.pagenumber | 6 | en_US |
dc.source.volume | 35 | en_US |
dc.source.journal | IS&T International Symposium on Electronic Imaging Science and Technology | en_US |
dc.identifier.doi | 10.2352/EI.2023.35.8.IQSP-301 | |
dc.identifier.cristin | 2225274 | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |