Title :
Roof-edge preserving image smoothing based on MRFs
Author_Institution :
Microsoft Res China, Beijing, China
fDate :
6/1/2000 12:00:00 AM
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;
Journal_Title :
Image Processing, IEEE Transactions on
