Image reconstruction using data-dependent triangulation

Image reconstruction based on data-dependent triangulation with new cost functions and optimization can create higher quality images than traditional bilinear or bicubic spline reconstruction. The article presents a novel method for image reconstruction using a piecewise linear intensity surface who...

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Bibliographic Details
Published inIEEE computer graphics and applications Vol. 21; no. 3; pp. 62 - 68
Main Authors Xiaohua Yu, Bryan, B.S., Sederberg, T.W.
Format Magazine Article
LanguageEnglish
Published Los Alamitos IEEE 01.05.2001
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Computer graphics
Cost function
DDT
Filtering
Image reconstruction
Interpolation
Mathematical models
Optimization
Piecewise linear techniques
Reconstruction
Solid modeling
Spline
Splines
Surface fitting
Surface reconstruction
Triangulation
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Summary:Image reconstruction based on data-dependent triangulation with new cost functions and optimization can create higher quality images than traditional bilinear or bicubic spline reconstruction. The article presents a novel method for image reconstruction using a piecewise linear intensity surface whose elements don't generally align with the coordinate axes. This method is based on the technique of data-dependent triangulation (DDT) that N. Dyn et al. (1990) introduced and has proven capable of producing more pleasing reconstructions than axis-aligned methods.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0272-1716
1558-1756
DOI:10.1109/38.920628