# IMAGE PROCESSING

" Two roads diverged in a wood, and I,
I took the one less traveled by,
And that has made all the difference "-Robert Frost

### Gray Scale to Pseudo color transformation

Transformation of a gray scale image into pseudo color image helps in better visualization of the image. In this tutorial, different ways to apply pseudo color transformation to a gray scale image will be discussed along with the MATLAB Code.
The main idea behind pseudo color transformation is to perform three independent transformation (RED,GREEN and BLUE) on the grayscale or intensity image and map  the corresponding intensity value in the image to the result obtained.

Steps to be performed:

Functional Block Diagram

Reference: Digitial Image Processing by Gonzalez

MATLAB CODE:

%PRE-ALLOCATE A MATRIX
Output = zeros([size(A,1) size(A,2) 3]);

%Define a colormap
map = colormap(jet(256));

%Assign the columns to 1-D RED,GREEN and BLUE
Red = map(:,1);
Green = map(:,2);
Blue = map(:,3);

%MAP THE COLORS BASED ON THE INTENSITY OF THE IMAGE

Output(:,:,1) = Red(A);
Output(:,:,2) = Green(A);
Output(:,:,3) = Blue(A);

Output = im2uint8(Output);
%DISPLAY THE IMAGE
imshow(Output);

%Save the image in PNG or JPEG format
imwrite(Output,'pseudo_color.jpg');

Checkerboard with colormaps:

%RESIZE THE IMAGE
A = imresize(A,[256 256]);

%PRE-ALLOCATE THE OUTPUT MATRIX
Output = zeros([size(A,1) size(A,2) 3]);

%DEFINE SOME COLORMAPS
maps={'jet(256)';'hsv(256)';'cool(256)';'spring(256)';'summer(256)';'parula(256)';'hot(256)'};

%COLORMAP 1
map=colormap(char(maps(7)));
Red = map(:,1);
Green = map(:,2);
Blue = map(:,3);

R1 = Red(A);
G1 = Green(A);
B1 = Blue(A);

%COLORMAP 2
map=colormap(char(maps(6)));
Red = map(:,1);
Green = map(:,2);
Blue = map(:,3);
R2 = Red(A);
G2 = Green(A);
B2 = Blue(A);

%SIZE OF THE MATRIX
sz=64;

ind=0;

for i=1:sz:size(A,1)-(sz-1)
for j=1:sz:size(A,2)-(sz-1)

%APPLY COLORMAPS BASED ON THE SIZE SZ
if(mod(ind,2)==0)

Output(i:i+(sz-1),j:j+(sz-1),1) = R1(i:i+(sz-1),j:j+(sz-1));
Output(i:i+(sz-1),j:j+(sz-1),2) = G1(i:i+(sz-1),j:j+(sz-1));
Output(i:i+(sz-1),j:j+(sz-1),3) = B1(i:i+(sz-1),j:j+(sz-1));

else
Output(i:i+(sz-1),j:j+(sz-1),1) = R2(i:i+(sz-1),j:j+(sz-1));
Output(i:i+(sz-1),j:j+(sz-1),2) = G2(i:i+(sz-1),j:j+(sz-1));
Output(i:i+(sz-1),j:j+(sz-1),3) = B2(i:i+(sz-1),j:j+(sz-1));

end

ind=ind+1;
end

ind=ind+1;
end
Output = im2uint8(Output);

%FINAL IMAGE
imshow(Output);

EXPLANATION:
The above code is to combine two colormaps to obtain checkboard effect on the image. To obtain checkboards in different size change the 'sz' variable with 4,8,16..etc.

UPPER OR LOWER TRIANGLE :

MATLAB CODE:

%RESIZE IMAGE
A = imresize(A,[256 256]);
%PRE-ALLOCATE THE OUTPUT MATRIX
Output = ones([size(A,1) size(A,2) 3]);

%COLORMAPS
maps={'jet(256)';'hsv(256)';'cool(256)';'spring(256)';'summer(256)';'parula(256)';'hot(256)'};

%COLORMAP 1
map=colormap(char(maps(1)));
Red = map(:,1);
Green = map(:,2);
Blue = map(:,3);

R1 = Red(A);
G1 = Green(A);
B1 = Blue(A);

%COLORMAP 2
map=colormap(char(maps(7)));
Red = map(:,1);
Green = map(:,2);
Blue = map(:,3);

%RETRIEVE POSITION OF UPPER TRIANGLE
[x,y]=find(triu(Output)==1);
Output(:,:,1) = Red(A);
Output(:,:,2) = Green(A);
Output(:,:,3) = Blue(A);

for i=1:numel(x)

Output(x(i),y(i),1)=R1(x(i),y(i));
Output(x(i),y(i),2)=G1(x(i),y(i));
Output(x(i),y(i),3)=B1(x(i),y(i));

end

Output = im2uint8(Output);

%FINAL IMAGE
imshow(Output);

EXPLANATION:
Upper triangular part of the image matrix with a colormap and lower triangular part of the image matrix with different colormap.

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