How can I reconstruct an RBG image?
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I have the following image. Is there any way to reconstruct this image without all the noise and the blurring in it (with the same color of each fringe)?
In other words, I want to make these colored fringes on a black ground.
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답변 (2개)
Image Analyst
2019년 9월 18일
How about this, using the attached data in answers.mat:
s = load('answers.mat')
red = repmat(s.red, [1699, 1]);
green = repmat(s.green, [1699, 1]);
blue = repmat(s.blue, [1699, 1]);
rgbImage = uint8(cat(3, red, green, blue));
imshow(rgbImage);
axis('on', 'image');
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Image Analyst
2019년 9월 19일
I took the average profile over a section of "good" rows in original image, then replicated it for the entire height of the image.
I assume the glitches were noise that you said you did not want, so I ignored them.
If you just want simple noise reduction, maybe you should try something like medfilt2() to do a median filter.
James Heselden
2019년 11월 6일
I have tried to find you a solution which will work with any image you want, however I am only able to test this system on the single image you have provided. The following script has given me the attached output image. I hope this will help you with your project.
%Read in the image you want
I = imread('image.png');
%Extract and binarize the relevant colour channels
redChannel=imbinarize(I(:,:,1), 0.8);
greenChannel=imbinarize(I(:,:,2), 0.4);
%Filter the image
filtered = medfilt2(redChannel+greenChannel);
%Convert to binary mask
mask=imbinarize(filtered,0.3);
%Apply the mask to the colour channels
Ir = I(:,:,1); Ir(~mask)=0;
Ig = I(:,:,2); Ig(~mask)=0;
Ib = I(:,:,3); Ib(~mask)=0;
%Compile the output image
I_coloured(:,:,1) = Ir;
I_coloured(:,:,2) = Ig;
I_coloured(:,:,3) = Ib;
imagesc(I_coloured)
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