MBCbook (version 0.1.2)

reconstructImage: Reconstructing an image from a patch decomposition

Description

A simple way of reconstructing an image from a patch decomposition.

Usage

reconstructImage(X,nl,nc)

Value

an image is returned as a matrix object, that can be display with the imshow function.

Arguments

X

the matrix of patches to be used for reconstructing the image.

nl

the number of rows of the image.

nc

the number of columns of the image.

Author

C. Bouveyron & J. Delon

Examples

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)
oldpar <- par(no.readonly = TRUE)
par(mfrow=c(1,3))
imshow(Im); imshow(ImNoise); imshow(ImRec)
par(oldpar)