A new method for evaluating the subjective image quality of photographs: dynamic reference
| Autor: | Mikko Nuutinen, Toni Virtanen, Tuomas Leisti, Jukka Häkkinen, Jenni Radun, Terhi Mustonen |
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| Rok vydání: | 2014 |
| Předmět: |
Computer Networks and Communications
business.industry Computer science Image quality media_common.quotation_subject 020206 networking & telecommunications 02 engineering and technology Set (abstract data type) Reference image Hardware and Architecture 0202 electrical engineering electronic engineering information engineering Media Technology 020201 artificial intelligence & image processing Quality (business) Computer vision Artificial intelligence business Software media_common |
| Zdroj: | Multimedia Tools and Applications. 75:2367-2391 |
| ISSN: | 1573-7721 1380-7501 |
| DOI: | 10.1007/s11042-014-2410-7 |
| Popis: | The Dynamic Reference (DR) method has been developed for subjective image quality experiments in which original or undistorted images are unavailable. The DR method creates reference image series from test images. Reference images are presented to observers as a slide show prior to evaluating their quality. As the observers view the set of reference images, they determine the overall variation in quality within the set of test images. This study compared the performance of the DR method to that of the standardized absolute category rating (ACR) and paired comparison (PC) methods. We measured the performance of each method in terms of time effort and discriminability. The results showed that the DR method is faster than the PC method and more accurate than the ACR method. The DR method is especially suitable for experiments that require highly accurate results in a short time. |
| Databáze: | OpenAIRE |
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