DocumentCode
1345452
Title
Roof-edge preserving image smoothing based on MRFs
Author
Li, Stan Z.
Author_Institution
Microsoft Res China, Beijing, China
Volume
9
Issue
6
fYear
2000
fDate
6/1/2000 12:00:00 AM
Firstpage
1134
Lastpage
1138
Abstract
A novel Markov random field (MRF) model is proposed for roof-edge (as well as step-edge) preserving image smoothing. Image surfaces containing roof-edges are represented by piecewise continuous polynomial functions governed by a few parameters. Piecewise smoothness constraint is imposed on these parameters rather than on the surface heights as is in traditional models for step-edges. In this way, roof edges are preserved without the necessity to deal with unstable higher order derivatives
Keywords
Markov processes; image representation; image restoration; piecewise polynomial techniques; smoothing methods; MRF; Markov random field model; image surfaces; piecewise continuous polynomial functions; piecewise smoothness constraint; roof-edge preserving image smoothing; step-edge preserving image smoothing; Deconvolution; Digital images; Eigenvalues and eigenfunctions; Filters; Image processing; Image restoration; Inverse problems; Markov random fields; Signal processing; Smoothing methods;
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/83.846255
Filename
846255
Link To Document