Perceptually-based comparisons of direct volume rendered images

Hon Cheng Wong, Huamin Qu, Un Hong Wong, Zesheng Tang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Direct volume tendering (DVR) is widely used in visualization. There are various DVR methods, such as ray casting, splatting, 2D texture slicing, and 3D texture slicing. The images generated by these methods are somewhat different. Even with the same DVR method, different rendering parameters also produce different images. As the direct volume rendered images will be perceived by human beings, it is important to investigate whether the visible differences between two images will be observed. In this poster, we apply a perceptually-based comparison metric, which is based on Visible Differences Predictor (VDP) developed by Daly, to compare the direct volume rendered images. We also show how to use this metric to predict the alpha threshold value for early ray-termination in a ray-casting algorithm. Experimental results demonstrate that our approach provides an alternative way to evaluate the quality of directed volume rendered images. A new perceptually-based acceleration technique for DVR can be developed based on our work.

Original languageEnglish
Title of host publicationVIS 05
Subtitle of host publicationIEEE Visualization 2005, Proceedings
Number of pages1
Publication statusPublished - 2005
Externally publishedYes
EventVIS 05: IEEE Visualization 2005, Proceedings - Minneapolis, MN, United States
Duration: 23 Oct 200528 Oct 2005

Publication series

NameProceedings of the IEEE Visualization Conference


ConferenceVIS 05: IEEE Visualization 2005, Proceedings
Country/TerritoryUnited States
CityMinneapolis, MN


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