Comments (4)
Might look into scikit-image, which has implemented this: https://github.com/scikit-image/scikit-image/blob/master/skimage/feature/register_translation.py#L195
They use the reference Manuel Guizar-Sicairos, Samuel T. Thurman, and James R. Fienup, "Efficient subpixel image registration algorithms," Optics Letters 33, 156-158 (2008).
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Just stubled upon A study of sub-pixel motion estimation using phase correlation, which uses fitting of a sinc function to the peak in the phase correlation. It claims to perform better (both resource and time wise) than up-sampling-techniques.
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I have added linear interpolation to the log-polar stuff. It mostly improves things, but not always. Depends on #11
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It seems that the resampling way is more robust than the interpolation.
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Related Issues (20)
- mode is ignored in transform_img HOT 3
- Investigate image registration on complex arrays HOT 1
- Memory issue HOT 1
- Array dtype conversion HOT 2
- Discrepancy in command line utility (ird) and python function (similarity)
- transform_img clips image, doesn't have option to specify output size HOT 2
- Error defining mask in utils.py HOT 1
- Multichannel Images HOT 3
- Using tiles in image registration HOT 1
- How to convert padded border of transformed image to black HOT 1
- Image is shifted out of frame
- I think this should say anticlockwise instead of clockwise
- sample PNGs for LargeTemplate [tiling] example do not open with Pillow 7.2
- installation
- Pixel values are changed after registration.
- how to uninstall imreg_dft
- [Need Help] What's that FILE OBJECT?
- [Help needed] Different shape images
- np.bool deprecated in utils.get_borderval( )
- Please update your release that the np.bool change reflects in the download HOT 1
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