reconstructImage: Reconstructing an image from a patch decomposition

In MBCbook: Companion Package for the Book "Model-Based Clustering and Classification for Data Science"

Reconstructing an image from a patch decomposition

Description

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

Usage

reconstructImage(X,nl,nc)

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.

Value

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

Author(s)

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)

MBCbook documentation built on June 24, 2024, 9:08 a.m.