TRAIN_LIN_DENOIS | ![]() |
Training of linear PCA model for image denoising.
Description:
The linear PCA model is trained to describe an input
class of images corrupted by noise. The training data
contains images corrupted by noise and corresponding
ground truth. The output dimension of the linear PCA
is tuned by cross-validation. The objective function
is a sum of squared differences between ground truth
images and reconstructed images.
See also
PCA, PCAREC, LINPROJ.
About: Statistical Pattern Recognition Toolbox
(C) 1999-2003, Written by Vojtech Franc and Vaclav Hlavac
Czech Technical University Prague
Faculty of Electrical Engineering
Center for Machine Perception
Modifications:
07-jun-2004, VF
05-may-2004, VF
17-mar-2004, VF