DocumentCode :
1362342
Title :
A User-Assisted Approach to Visualizing Multidimensional Images
Author :
Lawrence, Jason ; Arietta, Sean ; Kazhdan, Michael ; Lepage, Daniel ; Hagan, Colleen O.
Author_Institution :
Dept. of Comput. Sci., Univ. of Virginia, Charlottesville, VA, USA
Volume :
17
Issue :
10
fYear :
2011
Firstpage :
1487
Lastpage :
1498
Abstract :
We present a new technique for fusing together an arbitrary number of aligned images into a single color or intensity image. We approach this fusion problem from the context of Multidimensional Scaling (MDS) and describe an algorithm that preserves the relative distances between pairs of pixel values in the input (vectors of measurements) as perceived differences in a color image. The two main advantages of our approach over existing techniques are that it can incorporate user constraints into the mapping process and allows adaptively compressing or exaggerating features in the input in order to make better use of the output´s limited dynamic range. We demonstrate these benefits by showing applications in various scientific domains and comparing our algorithm to previously proposed techniques.
Keywords :
data visualisation; image colour analysis; user interfaces; color image; intensity image; mapping process; multidimensional image visualization; multidimensional scaling context; user-assisted approach; Color; Equations; Image color analysis; Laplace equations; Linear systems; Pixel; Stress; Multidimensional images; dimensionality reduction; life and medical sciences.; multidimensional scaling; physical sciences and engineering; visualization techniques;
fLanguage :
English
Journal_Title :
Visualization and Computer Graphics, IEEE Transactions on
Publisher :
ieee
ISSN :
1077-2626
Type :
jour
DOI :
10.1109/TVCG.2010.229
Filename :
5611511
Link To Document :
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