A study on attributes for 2.5D print quality assessment

Kadyrova, Altynay; Kitanovski, Vlado; Pedersen, Marius

doi:10.2352/issn.2169-2629.2020.28.4

Cited by 4 publications

(13 citation statements)

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“…We used the physical 2.5D prints from Kadyrova et al [20]. They fabricated 42 2.5D prints consisting of 12 reference images with three instances (i.e., in terms of quality aspect variations) and 3 images with two instances by Canon Arizona series 2.5D printer.…”

Section: Methodsmentioning

confidence: 99%

“…The quality variations were divided into five sets in their work. In our work, we focus on three sets because the quality issues were clearly visible/distinguishable for the observers in these sets based on data from Kadyrova et al [20]. They are as follows (Figure 1):…”

Section: Methodsmentioning

confidence: 99%

“…Regarding 2.5D print subjective QA, an experiment with observers was conducted to study the most used distinct attributes [20]. The observers judged the quality of 2.5D prints that were fabricated with a 2.5D printer.…”

Section: Quality Assessmentmentioning

confidence: 99%

“…Figure 1. The 2D reference images, reproduced from the dataset of Kadyrova et al[20]. From top left: tiles, wood, brick, scissor, speed sign, running track, flower, packaging, and snowflake images.…”

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confidence: 99%

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

2021

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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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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Quality Assessmentmentioning

confidence: 99%

mentioning

confidence: 99%

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

2021

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“…Wood is also a commonly used reproduced material in decor printing and is therefore also industry relevant. It is important to mention that, in the case of 2.5D prints, elevation can be synonymous with height, relief, depth, and similar attributes and expressions [ 1 , 3 ]. Thus, we do not differentiate definitions of, for example, elevation and height as in geography or other fields.…”

Section: Introductionmentioning

confidence: 99%

What Elevation Makes 2.5D Prints Perceptually Natural?

2022

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Elevation plays a considerable role in naturalness perception of 2.5D prints. The necessary level of elevation to make 2.5D prints look perceptually natural may vary from application to application. Therefore, one needs to know the right elevation for specific applications to make the prints look perceptually natural. In this work, we investigated what elevation makes 2.5D prints of wood images perceptually natural. We worked with various wood content images such as wooden wicker, wall, roof, and floor. We found that the optimal elevation that makes 2.5D prints of wood images perceptually natural is content-dependent and in a range between 0.3 mm and 0.5 mm. Moreover, we found that the optimal elevation becomes 0.5 mm if we consider images of wood regardless of the wood content. In addition, there was a high correlation between majority of observers on naturalness perception of 2.5D prints of wood images.

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Naturalness Perception of 2.5D Prints: Elevation and Size of Prints Relation

Kadyrova,

Pedersen,

Westland

et al. 2023

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Naturalness is a complex concept and a number of parameters might impact naturalness perception. In this work, we addressed how the combination of different elevation levels and size of prints impacts naturalness perception of 2.5D prints. The results of a subjective ranking experiment showed that observers perceived 2.5D prints as more natural at higher elevation with larger size of print. Moreover, we observed that elevation seems to be a more dominant parameter than size of the print for observers when evaluating naturalness.

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A study on attributes for 2.5D print quality assessment

Cited by 4 publications

References 0 publications

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

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

What Elevation Makes 2.5D Prints Perceptually Natural?

Naturalness Perception of 2.5D Prints: Elevation and Size of Prints Relation

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