Bilinear Interpolation 3 channel raw image

6 次查看(过去 30 天)
I'm trying to do bilinear interpolation on a raw image converted into a tif. The other raw image I obtained from my class is merged into 1 channel and that works perfectly, while this raw image I captured has three channels and won't run. When I try to run this code for the image with 3 channels, it always says
'Error using .* Matrix dimensions must agree.'
I've tried to assign each bands as R,G,B respectively and concatenating but I still run into the same error. Any ides how I can get this to work on my 3 channel images? My code is as follows:
clc;
close all;
clear all;
% Read in raw image
Raw = imread('upbayer.tif');
% Define the RGB arrays
[row,col] = size(Raw);
Bilinear interpolation
%create bayer pattern
i=double(Raw);
im =zeros([row col 3]);
row = size(i, 1);
col = size(i, 2);
channel = size(size(i), 2); % 2 = one channel
red_mask = repmat([0 1; 0 0], floor(row/2), floor(col/2));
green_mask = repmat([1 0; 0 1], floor(row/2), floor(col/2));
blue_mask = repmat([0 0; 1 0], floor(row/2), floor(col/2));
R=i.*red_mask;
G=i.*green_mask;
B=i.*blue_mask;
im(:,:,1)=R;
im(:,:,2)=G;
im(:,:,3)=B;
%interpolation
% interpolate for blue
% blue at red pixels
B1 = imfilter(B,[1 0 1; 0 0 0; 1 0 1]/4);
% blue at green pixels
B2 = imfilter(B+B1,[0 1 0; 1 0 1; 0 1 0]/4);
B = B + B1 + B2;
% interpolate for red
% red at blue pixels
R1 = imfilter(R,[1 0 1; 0 0 0; 1 0 1]/4);
% red at green pixels
R2 = imfilter(R+R1,[0 1 0; 1 0 1; 0 1 0]/4);
R = R + R1 + R2;
% interpolate for green
% creating this to output an image of bilinear interpolation
G= G + imfilter(G, [0 1 0; 1 0 1; 0 1 0]/4);
figure(2)
bilinear(:,:,1)=R;
bilinear(:,:,2)=G;
bilinear(:,:,3)=B;
imshow(uint8(bilinear))
The dimensions I have for the variables are:
channel 3
row 3264
col 4912
red_mask 3264x4912
green_mask 3264x4912
blue_mask 3264x4912

回答(1 个)

Taha
Taha 2017-5-26
The following changes will make the code work:
R=i(:,:,1).*red_mask;
G=i(:,:,2).*green_mask;
B=i(:,:,3).*blue_mask;

类别

Help CenterFile Exchange 中查找有关 Image Processing Toolbox 的更多信息

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by