| dc.contributor.author | Kadyrova, Altynay | |
| dc.contributor.author | Kitanovski, Vlado | |
| dc.contributor.author | Pedersen, Marius | |
| dc.date.accessioned | 2021-03-05T10:55:07Z | |
| dc.date.available | 2021-03-05T10:55:07Z | |
| dc.date.created | 2020-11-30T16:57:28Z | |
| dc.date.issued | 2020 | |
| dc.identifier.isbn | 978-0-89208-348-0 | |
| dc.identifier.uri | https://hdl.handle.net/11250/2731817 | |
| dc.description.abstract | Quality assessment is performed through the use of variety of quality attributes. It is crucial to identify relevant attributes for quality assessment. We focus on 2.5D print quality assessment and its quality attributes. An experiment with observers showed the most frequently used attributes to judge quality of 2.5D prints with and without reference images. Colour, sharpness, elevation, lightness, and naturalness are the top five the most frequently used attributes for both with and without reference cases. We observed that content, previous experience and knowledge, and aesthetic appearance may impact quality judgement. | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | The Society for Imaging Science and Technology | en_US |
| dc.relation.ispartof | Twenty-eight Color and Imaging Conference | |
| dc.title | A study on attributes for 2.5D print quality assessment | en_US |
| dc.type | Chapter | en_US |
| dc.description.version | acceptedVersion | en_US |
| dc.source.pagenumber | 19-24 | en_US |
| dc.identifier.cristin | 1854395 | |
| dc.description.localcode | This chapter will not be available due to copyright restrictions (c) 2020 by The Society for Imaging Science and Technology | en_US |
| cristin.ispublished | true | |
| cristin.fulltext | postprint | |
| cristin.qualitycode | 1 | |
