Restorer: A Visualization Technique for Handling Missing Data
Restorer is a visualization technique for indicating the location of missing data in a scientific visualization. Rather than filling missing data regions with interpolated data colored with the same scale as real data or simply leaving such regions empty, the restorer technique fills the regions with interpolated data colored with a color table with only luminance values. This technique allows missing data to be indicated clearly without distracting from the content of the real data.
A narrated video describing the restorer technique and giving several examples
Credits
Please give credit for this item to:
NASA/Goddard Space Flight Center
Scientific Visualization Studio
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Animators
- Ray Twiddy (Hughes STX)
- John Cavallo (Hughes STX)
- Shahram Shiri (NASA)
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Scientist
- Ray Twiddy (Hughes STX)
Release date
This page was originally published on Wednesday, August 24, 1994.
This page was last updated on Wednesday, May 3, 2023 at 2:00 PM EDT.
Datasets used
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[Nimbus-7: TOMS]
ID: 79
Note: While we identify the data sets used on this page, we do not store any further details, nor the data sets themselves on our site.