问题
I have photo images of galaxies. There are some unwanted data on these images (like stars or aeroplane streaks) that are masked out. I don't just want to fill the masked areas with some mean value, but to interpolate them according to surrounding data. How do i do that in python?
We've tried various functions in SciPy.interpolate package: RectBivariateSpline, interp2d, splrep/splev, map_coordinates, but all of them seem to work in finding new pixels between existing pixels, we were unable to make them fill arbitrary "hole" in data.
回答1:
What you want is called Inpainting.
OpenCV has an inpaint() function that does what you want.
回答2:
What you want is not interpolation at all. Interpolation depends on the assumption that data between known points is roughly contiguous. In any non-trivial image, this will not be the case.
You actually want something like the content-aware fill that is in Photoshop CS5. There is a free alternative available in The GIMP through the GIMP-resynthesize plugin. These filters are extremely advanced and to try to re-implement them is insane. A better choice would be to figure out how to use GIMP-resynthesize in your program instead.
回答3:
I made my first gimp python script that might help you: my scripts
It is called conditional filter as it is a matrix filter that fill all transparent pixels from an image according to the mean value of its 4 nearest neighbours that are not transparent. Be sure to use a RGBA image with only 0 and 255 transparent values.
Its is rough, simple, slow, unoptimized but bug free.
来源：https://stackoverflow.com/questions/9478347/how-do-i-fill-holes-in-an-image