mqPCAForFaceHallucination.m

function [] = mqPCA()
    global LOW_RES_INPUT_TEST_IMAGE;
    global VISUALS;
    dbl_lowres = double(LOW_RES_INPUT_TEST_IMAGE);
    width = size(LOW_RES_INPUT_TEST_IMAGE,1);
    height = size(LOW_RES_INPUT_TEST_IMAGE,2);

    rshp_lowres = reshape(LOW_RES_INPUT_TEST_IMAGE, width*height, 3);

    %% figure, imshow(rshp_lowres);
    coeff = pca(double(rshp_lowres));

    %%####################################################
    lowres_dir_path = uigetdir;
    %addpath(lowres_dir_path);
    image_files = dir(strcat(lowres_dir_path, '\*.jpg'));
    num_files = length(image_files);
    table_of_features = cell(num_files);
    table_of_names = cell(num_files);
    for i = 1 : num_files
        %% check isDir
        file_name = image_files(i).name;
        full_image_path = strcat(lowres_dir_path ,'\', file_name);
        training_image = imread(full_image_path);
        training_image = double(training_image);
        training_width = size(training_image, 1);
        training_height = size(training_image, 2);
        reshaped_training_image = reshape(training_image, training_width * training_height, 3);
        reduced_image = reshaped_training_image * coeff;
        if(VISUALS == true)
            image_to_be_displayed = reshape(reduced_image, training_width, training_height, 3);
            imshow(image_to_be_displayed);
            pause
        end
        table_of_features{i} = reduced_image;
        table_of_names{i} = full_image_path;
    end
    save 'table_of_features.mat' table_of_features;
    save 'table_of_names.mat' table_of_names;
end