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I am working on a project comparing previous and current of urban and rural landscapes using old scanned photos and new digital images photographed from the estimated source of the original photos. I wish to register the known pixel locations on the old (scanned) photos with the same locations on the new images. The aim of this will be to resample and warp the new images to match their partner old images. This will then produce two identical image dimensions with matching cartesian coordinates and facilitate serious comparative examination of landscape change using 3-D work.
My query is does anybody know if Photoshop is capable of this, or of any other software which can undertake bitmap to bitmap pixel registration ? Photoshop gives the impression within its filters that it is capable of sub pixel measurement and if so its PSD files must have a deeper structure than just x and y pixel numbers.
The procedure I think will work is similar to the registration of air photos and satellite images (bit mapped data) on to digital maps ( vector data ). GIS packages such as ArcView can easily undertake this pixel registration of bitmap to vector data but alas they cannot undertake bitmap to bitmap data registration.
Any help or views would be appreciated – it maybe that PS is not the package for this, but I have yet to find any other.
My query is does anybody know if Photoshop is capable of this, or of any other software which can undertake bitmap to bitmap pixel registration ? Photoshop gives the impression within its filters that it is capable of sub pixel measurement and if so its PSD files must have a deeper structure than just x and y pixel numbers.
The procedure I think will work is similar to the registration of air photos and satellite images (bit mapped data) on to digital maps ( vector data ). GIS packages such as ArcView can easily undertake this pixel registration of bitmap to vector data but alas they cannot undertake bitmap to bitmap data registration.
Any help or views would be appreciated – it maybe that PS is not the package for this, but I have yet to find any other.

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