DocumentCode :
1340971
Title :
An axiomatic approach to image interpolation
Author :
Caselles, Vicent ; Morel, Jean-Michel ; Sbert, Catalina
Author_Institution :
Dept. of Math. & Inf., Illes Balears Univ., Palma de Mallorca, Spain
Volume :
7
Issue :
3
fYear :
1998
fDate :
3/1/1998 12:00:00 AM
Firstpage :
376
Lastpage :
386
Abstract :
We discuss possible algorithms for interpolating data given in a set of curves and/or points in the plane. We propose a set of basic assumptions to be satisfied by the interpolation algorithms which lead to a set of models in terms of possibly degenerate elliptic partial differential equations. The absolute minimal Lipschitz extension model (AMLE) is singled out and studied in more detail. We show experiments suggesting a possible application, the restoration of images with poor dynamic range
Keywords :
image restoration; interpolation; partial differential equations; AMLE; absolute minimal Lipschitz extension model; axiomatic approach; curves; degenerate elliptic partial differential equations; image interpolation; points; poor dynamic range images restoration; Associate members; Bit rate; Decoding; Dynamic range; Image coding; Image processing; Image reconstruction; Image restoration; Interpolation; Partial differential equations;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/83.661188
Filename :
661188
Link To Document :
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