图像修复模型——CCD模型

1. 参考文献

2. CCD模型

2.1 CCD模型

% demo_CDD.m
% Author: HSW
% Date: 2015/3/25
% HARBIN INSTITUTE OF TECHNOLOGY
%
% set matlab
close all;
clear all;
clc;

options.null = 0;
% read image
Img = imread('Image\butterfly.bmp');
% Img = imread('Image\peppers.bmp');
%Img = rgb2gray(Img);
Img = im2double(Img);
if max(Img(:)) < 2
    Img = Img*255;
end

FlagColor = (size(Img,3) == 3);

% set mask
SetMask = 2;
if SetMask == 1
    % read mask
    Mask = imread('Mask\peppers_mask512.bmp');
    Mask = Mask > 5;
    MFlagColor = (size(Mask,3) == 3);
    if MFlagColor ~= FlagColor && FlagColor == 1
        Mask = repmat(Mask,[1,1,3]);
    elseif MFlagColor ~= FlagColor && FlagColor == 0
        Mask = Mask(:,:,1);
    end
elseif SetMask == 2
    % Interactively set mask
    if not(exist('grab_mode'))
        grab_mode = 'line';
    end
    options.grab_mode = grab_mode;
    if not(exist('grab_radius'))
        grab_radius = 4;
    end
    switch grab_mode
        case 'points'
            options.r = grab_radius;
            U = grab_inpainting_mask(Img,options);
        case 'line'
            options.r = grab_radius;
            [U,options.point_list] = grab_inpainting_mask(Img,options);
    end %switch
    Iin = find(U(:,:,1) == Inf);
    Iout = find(U(:,:,1) ~= Inf);
    m1 = length(Iin); % 缺损点的总数
    % product the mask
    Mask = zeros(size(Img));
    if FlagColor == 1
        tmpMask = zeros([size(Img,1),size(Img,2)]);
        for channel = 1:3
            tmpMask(Iin) = 1 ;
            Mask(:,:,channel) = tmpMask;
        end
    else
        Mask(Iin) = 1; % 缺损区域为1
    end % if FlagColor
end% if SetMask
nImg = (1-Mask).*Img;
PSNRin = 10*log10(255^2/mean((Img(:)-nImg(:)).^2));
InImg = nImg;
% Initial Image
if FlagColor == 1
    Positions = find(Mask(:,:,1) == 1);
    for channel = 1:3
        tmpnImg = nImg(:,:,channel);
        tmpnImg(Positions) = floor(255*rand(1,length(Positions))) + 1;
        InImg(:,:,channel) = tmpnImg;
    end
else
    Positions = find(Mask == 1);
    randValue = floor(255*rand(1,length(Positions))) + 1;
    InImg(Positions) = randValue;
end

% Main CDD Model
IterNum = 300;
I = InImg;
for iter = 1:IterNum
    I = CCD_inpaint_gray_color(I,Mask);
    if mod(iter,100) == 0
        figure;
        imshow(I/255,[]);
        title(['Results of iterNum = ',num2str(iter)]);
    end
end %for iter

I = max(0,min(I,255));
PSNRout = 10*log10(255^2/mean((I(:) - Img(:)).^2));
figure;
subplot(1,3,1);
imshow(Img/255,[]);
title('Original Image');
subplot(1,3,2);
imshow(nImg/255,[]);
title(['Masked Image PSNR = ',num2str(PSNRin), ' dB']);
subplot(1,3,3);
imshow(I/255,[]);
title(['Inpainting Image PSNR = ', num2str(PSNRout), ' dB']);
% demo_CDD.