| dc.contributor.author | Pedersen, Marius | |
| dc.contributor.author | Hardeberg, Jon Yngve | |
| dc.date.accessioned | 2009-06-24T07:03:49Z | |
| dc.date.issued | 2009 | |
| dc.identifier.issn | 1890‐520X | |
| dc.identifier.uri | http://hdl.handle.net/11250/144194 | |
| dc.description.abstract | This paper aims to give a survey of full-reference image quality metrics,
including metrics specifically designed to evaluate image quality, but
also metrics for image difference, image fidelity, and more. These metrics
have in common that they try to predict the perceived difference between
an original image and a modified version of it, this modification can typically
be compression, halftoning and blurring. They output one numerical
value and/or an image difference map. More than 100 image quality metrics
have been reviewed and categorized, and short descriptions and analysis of
all metrics and their relationships are given. This should prove valuable to
researchers in various fields, to find the most appropriate metric for their application,
and to give a better understanding of the state of the art of the field
of image quality metrics. | en |
| dc.format.extent | 490629 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | eng | en |
| dc.relation.ispartofseries | Høgskolen i Gjøviks rapportserie | en |
| dc.relation.ispartofseries | 2009:5 | en |
| dc.subject | color management | en |
| dc.subject | image quality metrics | en |
| dc.title | Survey of full-reference image quality metrics | en |
| dc.type | Research report | en |
| dc.subject.nsi | VDP::Mathematics and natural science: 400::Information and communication science: 420::Simulation, visualization, signal processing, image processing: 429 | en |
