How to compress the image ?
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for example, I have a 3D image in grayscale, 512X512X300.
I just want to compress it in X and Y plane.
I want 4 pixels to combine into one pixel.
And the value of the combined pixel takes average on that 4 pixels or take its max.
Can I directly do on 3D image? If not, please tell me how to do it on 2D image.
Thanks.
Answers (2)
Image Analyst
on 29 Aug 2014
1 vote
Just save it as a .mat file. This is a proprietary binary format that will probably be fairly compressed, and anyway, it will make it convenient to read back in to MATLAB.
6 Comments
tabw
on 30 Aug 2014
Image Analyst
on 30 Aug 2014
Just save the whole variable. If the variable is a 3D array, save that.
save(filename, 'array3d');
tabw
on 31 Aug 2014
Image Analyst
on 31 Aug 2014
No you don't use imresize(). That changes the number of rows and columns in the image. save() saves the image to disk with fewer bytes than when it's loaded into memory, or saved to disk with a sequence of uncompressed 2D images. I have no idea what you want to do after that - you didn't say. All you said is you want to compress it (not resize it - they're very very different).
tabw
on 2 Sep 2014
Image Analyst
on 2 Sep 2014
Then use imresize().
Yawar Rehman
on 3 Sep 2014
image analyst is rigth, i think you have a stack 300 gray scale images whose dimensions are 512x512.
compression usually involves techniques like principal components analysis. but from your question it is more evident that you want to downsample an image by the factor of 1/4 rather than compress. i think this would be useful!
% images you have
imgs = zeros(512,512,300);
% downsample by 1/4
downImages = imresize(imgs,1/4);
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