show_denoising.m~

matlab中进行人脸识别研究时用到的所有程序码路径的设置.

% Demonstration of image restoration on USPS database.
%
% Linear PCA and Kernel PCA models are learnt from files.
%

% Modification:
% 5-may-2004, VF
% 22-apr-2004, VF

% == input files ======================
kpca_filename = 'GreedyKpcaMoldeUsps5.mat';  % kpca model
lpca_filename = 'LinearPCAModelUSPS.mat';       % linear PCA model

input_data_file = '/home.dokt/xfrancv/data/usps_noisy';  % USPS 

% loading ...
load(kpca_filename,'kpca_model');
load(lpca_filename,'lpca_model');
load(input_data_file);

% get indices of examples to denoise
inx = [];
for i=1:10,
  tmp = find(tst.y == i);
  inx = [inx, tmp(1) ];
end

% get noisy and ground truth numerals
noisy_X = tst.X(:,inx);  
gnd_X = tst.gnd_X(:,inx);

% Kernel PCA denoising
kpca_X = kpimage( noisy_X, kpca_model);
lpca_X = lpimage( noisy_X, lpca_model);

% display results
h=figure; set(h,'name','Denoised by greedy KPCA');
showim( kpca_X);

h=figure; set(h,'name','Denoised by linear PCA');
showim( lpca_X);

h=figure; set(h,'name','Ground truth');
showim( gnd_X);

h=figure; set(h,'name','Noisy');
showim( noisy_X);