How to stack colour layers

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Lucius
Lucius on 15 May 2015
Commented: Lucius on 20 May 2015
I have an initial picture and make some calculations with the individual colour layers in a for-loop going through the 3 layers. In the end I want to stack them again to get the coloured version. Instead, I reveice nothing meaningful. What is wrong in the syntax?
for ii=1:3
...
end
Img_R = uint8(abs(Img_x2(:,:,1)));
Img_G = uint8(abs(Img_x2(:,:,2)));
Img_B = uint8(abs(Img_x2(:,:,3)));
pertImgRGB = cat(3,Img_R,Img_G,Img_B);
figure(5);
subplot(1,3,2);
imagesc(x, y, pertImgRGB);
axis square;
set(gca,'YDir','normal')
  9 Comments
Lucius
Lucius on 15 May 2015
No, there are really 5 figures; the fifth being introduced with line 237. And instead of showing the top left image from the above figure in a perturbed way, I only get a figure with a white subplot(1,3,2) (line 238).
Image Analyst
Image Analyst on 15 May 2015
Oh, you're right. For some weird reason figure 5 popped "up" exactly underneath figure #1 which totally hid/blocked figure #5. I'll look at it again.

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Accepted Answer

Image Analyst
Image Analyst on 15 May 2015
Before you go to uint8, the range of your data is:
minValue =
0.0169157443510078
maxValue =
145341.029916172
Replace your code with this:
% Display what the max and min are, just for fun.
minValue = min(abs(Img_x2(:)))
maxValue = max(abs(Img_x2(:)))
% Scale to 0-255
Img_x2 = 255 * mat2gray(abs(Img_x2));
Img_R = uint8((Img_x2(:,:,1)));
Img_G = uint8((Img_x2(:,:,2)));
Img_B = uint8((Img_x2(:,:,3)));
pertImgRGB = cat(3,Img_R,Img_G,Img_B);
  5 Comments
Lucius
Lucius on 19 May 2015
one last one. In the end, I want to concatenate the corrected layers again to reveal the fully unperturbed galaxy again...to show that the correction process works. I applied the very same commands that you suggested above and the image formats seem to be ok. But the galaxy is only halfway corrected. The layers from line 307 shall be stacked. Line 318f shows the code. Btw, the same galaxy image as posted above.
Lucius
Lucius on 20 May 2015
I think we found the solution. The image we read in at the beginning already contains the diffraction and systematic effects of the Hubble telescope; we do not have the true planewave information from the imaged object, but only the CCD image itself (of course, as the planewave cannot be recorded withouth a recording device that introduces its own systematic effects). After propagating it trough our own aperture, we have additional diffraction patterns. We apply our disturbance to it and correct it back. This works perfectly. But it's strange that if introducing a star image, we do not get the overall star image WITH diffraction pattern. The stars are not where they are expected to be compared to the introduced image. But at least the correction algorithm works perfectly.

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