Quality measures of reconstruction filters for stereoscopic volume rendering

Roberts, David A.T.; Ivrissimtzis, Ioannis

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.

Citation

Roberts, D. A., & Ivrissimtzis, I. (2016). Quality measures of reconstruction filters for stereoscopic volume rendering. Computational Visual Media, 2(1), 19-30. https://doi.org/10.1007/s41095-016-0035-7

• Journal Article Type: Article
• Acceptance Date: Dec 9, 2015
• Online Publication Date: Jan 29, 2016
• Publication Date: Mar 1, 2016
• Deposit Date: Feb 1, 2016
• Publicly Available Date: Feb 26, 2016
• Journal: Computational Visual Media
• Print ISSN: 2096-0433
• Electronic ISSN: 2096-0662
• Publisher: SpringerOpen
• Peer Reviewed: Peer Reviewed
• Volume: 2
• Issue: 1
• Pages: 19-30
• DOI: https://doi.org/10.1007/s41095-016-0035-7
• Public URL: https://durham-repository.worktribe.com/output/1390432