Description Usage Arguments Value Author(s) Examples
A simple way of reconstructing an image from a patch decomposition.
the matrix of patches to be used for reconstructing the image.
the number of rows of the image.
the number of columns of the image.
an image is returned as a matrix object, that can be display with the
C. Bouveyron & J. Delon
1 2 3 4 5 6 7 8
Im = diag(16) ImNoise = Im + rnorm(256,0,0.1) X = imageToPatch(ImNoise,4) out = mixmodCluster(X,10,model=mixmodGaussianModel(family=c("spherical"))) res = mixmodPredict(X,out@bestResult) Xdenoised = denoisePatches(X,out,P = res@proba,sigma = 0.1) ImRec = reconstructImage(Xdenoised,16,16) par(mfrow=c(1,3)); imshow(Im); imshow(ImNoise); imshow(ImRec)
Loading required package: mclust Package 'mclust' version 5.4.7 Type 'citation("mclust")' for citing this R package in publications. Loading required package: Rmixmod Loading required package: Rcpp Rmixmod v. 2.1.5 / URI: www.mixmod.org Loading required package: MASS Loading required package: mvtnorm Attaching package: ‘mvtnorm’ The following object is masked from ‘package:mclust’: dmvnorm
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.