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Computational Visual Media 2016, 2(1): 19-30 https://doi.org/10.1007/s41095-016-0035-7
Research Article | Open Access | Issue | Published: 29 January 2016

Quality measures of reconstruction filters for stereoscopic volume rendering

Show Author's Information David A. T. Roberts1( ),  Ioannis Ivrissimtzis1
School of Engineering and Computing Sciences, Durham University, Durham, DH1 3LE, UK.
Keywords:
direct volume rendering (DVR), reconstruction filters, stereoscopic, user evaluations
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Roberts DAT, Ivrissimtzis I. Quality measures of reconstruction filters for stereoscopic volume rendering. Computational Visual Media, 2016, 2(1): 19-30. https://doi.org/10.1007/s41095-016-0035-7
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Abstract Full text About this article

In direct volume rendering (DVR), the choice of reconstruction filter can have a significant effect on the visual appearance of the images produced and thus, on the perceived quality of a DVR rendered scene. This paper presents the results of a subjective experiment where participants stereoscopically viewed DVR rendered scenes and rated their subjective quality. The statistical analysis of the results focuses on the relationship between the quality of the stereoscopic scene and properties of the filters such as post-aliasing and smoothing, as well as the relationship between the quality of the stereoscopic scene and properties of the rendered images such as shape compactness.

The experiment evaluated five reconstruction filters on four different volumetric datasets. Participants rated the stereoscopic scenes on four quality measures: depth quality, depth layout, lack of jaggyness, and sharpness. The results show that the correlation between the quality measures and post-aliasing and smoothing, which are properties associated with each reconstruction filter, is moderate and statistically insignificant. On the other hand, the correlation between the quality measures and compactness, which is a property specific to each rendered image, is strong and statistically significant.


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About this article

Quality measures of reconstruction filters for stereoscopic volume rendering

Show Author's information David A. T. Roberts1( ), Ioannis Ivrissimtzis1
School of Engineering and Computing Sciences, Durham University, Durham, DH1 3LE, UK.

Abstract

In direct volume rendering (DVR), the choice of reconstruction filter can have a significant effect on the visual appearance of the images produced and thus, on the perceived quality of a DVR rendered scene. This paper presents the results of a subjective experiment where participants stereoscopically viewed DVR rendered scenes and rated their subjective quality. The statistical analysis of the results focuses on the relationship between the quality of the stereoscopic scene and properties of the filters such as post-aliasing and smoothing, as well as the relationship between the quality of the stereoscopic scene and properties of the rendered images such as shape compactness.

The experiment evaluated five reconstruction filters on four different volumetric datasets. Participants rated the stereoscopic scenes on four quality measures: depth quality, depth layout, lack of jaggyness, and sharpness. The results show that the correlation between the quality measures and post-aliasing and smoothing, which are properties associated with each reconstruction filter, is moderate and statistically insignificant. On the other hand, the correlation between the quality measures and compactness, which is a property specific to each rendered image, is strong and statistically significant.

Keywords: direct volume rendering (DVR), reconstruction filters, stereoscopic, user evaluations

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Publication history

Revised: 27 November 2015
Accepted: 09 December 2015
Published: 29 January 2016
Issue date: March 2016

Copyright

© The Author(s) 2016

Acknowledgements

The visible human dataset was provided by the National Library of Medicine. The angiography and engine datasets are publicly available at http://www.volvis.org.

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