NDLI: Volume Upscaling Using Local Self-Examples for High Quality Volume Visualization

Content Provider	IEEE Xplore Digital Library
Author	Qirui Wang Yubo Tao Chao Wang Feng Dong Hai Lin Clapworthy, G.
Copyright Year	2013
Description	Author affiliation: Centre for Comput. Graphics & Visualization, Univ. of Bedfordshire, Luton, UK (Feng Dong; Clapworthy, G.) \|\| Univ. of Wollongong, Wollongong, NSW, Australia (Chao Wang) \|\| State Key Lab. of CAD&CG, Zhejiang Univ., Hangzhou, China (Qirui Wang; Yubo Tao; Hai Lin)
Abstract	Volume up scaling enlarges the size of a volume to make feature analysis more accurate and efficient. Linear interpolation, widely used in volume up scaling, result in jagged artifacts around features and losses of high-frequency components. Based on the example-based up scaling framework, this paper presents a new high-quality volume up scaling technique, predicting the high-frequency components by searching for the best matched patch in the input volume. As each slice can be taken as an image, the existing image up scaling technique based on the local self-similarity assumption can be directly applied to achieve slice up scaling. We further validate that the local self-similarity assumption is still valid for 3D volumes, and we extend this technique to 3D volume up scaling, i.e., isotropic volume up scaling. We compare our volume up scaling technique with traditional linear and cubic spline interpolations, and demonstrate that our method can generate a higher quality volume with better shape and details preserved. The proposed volume up scaling technique is well suitable for legacy low-resolution volumes to improve their visual qualities in visualization and analysis.
Starting Page	298
Ending Page	305
File Size	2020723
Page Count	8
File Format	PDF
ISBN	9781479925766
DOI	10.1109/CADGraphics.2013.46
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Interpolation Visualization Image resolution Three-dimensional displays slice upscaling volume upscaling Rendering (computer graphics) volume visualization Image reconstruction Biomedical imaging self-examples
Content Type	Text
Resource Type	Article

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