How to go back to the original size of an image

Hi guys. Assume that I have a matrix of 2n x 2m size that represents my image ( entries are intensities of each pixel ). or series of matrices ( images ). Then I used the software to get the displacement field for that matrix in comparison with some reference image ( of the same size ), but matrix ( image ) that represents the displacement is of size n x m. The issue is how can I now match all the displacement values to the points in my original matrix ( image ) ?

Answer 1

[KSSV]

doc imresize. You can resize your data to your desired dimensions using this.

[Damian Wierzbicki]

I did that before, but I was having doubts if it was the wright thing to do. Thank you very much.

[Damian Wierzbicki]

I don't think it is wright at all actually. The entries of the matrix that I'm resizing are the distances expressed in mm that stand for the displacement of each point (pixel). But the imresize doesn't know, does it ? Does it not think that these numbers are the intensities of each pixel ?

[Image Analyst]

No, it doesn't necessarily. An image is a 2-D array of numbers that can represent anything you want it to. It can be intensities, like an optical image, it can be densities, like an x-ray or CT image, it can be relaxation times, like an MRI image, it can be heights or distances like a profilometer image, it can be type of object, like a classified/labeled image, or whatever. For your case it's displacements, and that is fine. That's a perfectly acceptable image and imresize() will work fine with it and produce correct results.

[Damian Wierzbicki]

Ok, that makes sense. Thank you for clarifying that for me Image Analyst, I appreciate it.