Quality Assessment of 2.5D Prints Using 2D Image Quality Metrics

Quality assessment is an important aspect in a variety of application areas. In this work, the objective quality assessment of 2.5D prints was performed. The work is done on camera captures under both diffuse (single-shot) and directional (multiple-shot) illumination. Current state-of-the-art 2D ful...

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Main Authors: Altynay Kadyrova, Vlado Kitanovski, Marius Pedersen
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/11/16/7470
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author Altynay Kadyrova
Vlado Kitanovski
Marius Pedersen
author_facet Altynay Kadyrova
Vlado Kitanovski
Marius Pedersen
author_sort Altynay Kadyrova
collection DOAJ
description Quality assessment is an important aspect in a variety of application areas. In this work, the objective quality assessment of 2.5D prints was performed. The work is done on camera captures under both diffuse (single-shot) and directional (multiple-shot) illumination. Current state-of-the-art 2D full-reference image quality metrics were used to predict the quality of 2.5D prints. The results showed that the selected metrics can detect differences between the prints as well as between a print and its 2D reference image. Moreover, the metrics better detected differences in the multiple-shot set-up captures than in the single-shot set-up ones. Although the results are based on a limited number of images, they show existing metrics’ ability to work with 2.5D prints under limited conditions.
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spelling doaj.art-b1a4637e5bde4873806245ac07f769fe2023-11-22T06:42:09ZengMDPI AGApplied Sciences2076-34172021-08-011116747010.3390/app11167470Quality Assessment of 2.5D Prints Using 2D Image Quality MetricsAltynay Kadyrova0Vlado Kitanovski1Marius Pedersen2Department of Computer Science, Norwegian University of Science and Technology, 2802 Gjøvik, NorwayDepartment of Computer Science, Norwegian University of Science and Technology, 2802 Gjøvik, NorwayDepartment of Computer Science, Norwegian University of Science and Technology, 2802 Gjøvik, NorwayQuality assessment is an important aspect in a variety of application areas. In this work, the objective quality assessment of 2.5D prints was performed. The work is done on camera captures under both diffuse (single-shot) and directional (multiple-shot) illumination. Current state-of-the-art 2D full-reference image quality metrics were used to predict the quality of 2.5D prints. The results showed that the selected metrics can detect differences between the prints as well as between a print and its 2D reference image. Moreover, the metrics better detected differences in the multiple-shot set-up captures than in the single-shot set-up ones. Although the results are based on a limited number of images, they show existing metrics’ ability to work with 2.5D prints under limited conditions.https://www.mdpi.com/2076-3417/11/16/7470image quality metricsquality assessment2.5D printing
spellingShingle Altynay Kadyrova
Vlado Kitanovski
Marius Pedersen
Quality Assessment of 2.5D Prints Using 2D Image Quality Metrics
Applied Sciences
image quality metrics
quality assessment
2.5D printing
title Quality Assessment of 2.5D Prints Using 2D Image Quality Metrics
title_full Quality Assessment of 2.5D Prints Using 2D Image Quality Metrics
title_fullStr Quality Assessment of 2.5D Prints Using 2D Image Quality Metrics
title_full_unstemmed Quality Assessment of 2.5D Prints Using 2D Image Quality Metrics
title_short Quality Assessment of 2.5D Prints Using 2D Image Quality Metrics
title_sort quality assessment of 2 5d prints using 2d image quality metrics
topic image quality metrics
quality assessment
2.5D printing
url https://www.mdpi.com/2076-3417/11/16/7470
work_keys_str_mv AT altynaykadyrova qualityassessmentof25dprintsusing2dimagequalitymetrics
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