I have just done some image processing using the Python image library (PIL) using a post I found earlier to perform fourier transforms of images and I can't get the save function to work. The whole code works fine but it just wont save the resulting image:
from PIL import Image import numpy as np i = Image.open("C:/Users/User/Desktop/mesh.bmp") i = i.convert("L") a = np.asarray(i) b = np.abs(np.fft.rfft2(a)) j = Image.fromarray(b) j.save("C:/Users/User/Desktop/mesh_trans",".bmp")
The error I get is the following:
save_handler = SAVE[string.upper(format)] # unknown format KeyError: '.BMP'
How can I save an image with Pythons PIL?
save() Saves this image under the given filename. If no format is specified, the format to use is determined from the filename extension, if possible. Keyword options can be used to provide additional instructions to the writer.
The PIL module is used for storing, processing, and displaying images in Python. To save images, we can use the PIL. save() function. This function is used to export an image to an external file.
The error regarding the file extension has been handled, you either use BMP
(without the dot) or pass the output name with the extension already. Now to handle the error you need to properly modify your data in the frequency domain to be saved as an integer image, PIL
is telling you that it doesn't accept float data to save as BMP.
Here is a suggestion (with other minor modifications, like using fftshift
and numpy.array
instead of numpy.asarray
) for doing the conversion for proper visualization:
import sys import numpy from PIL import Image img = Image.open(sys.argv[1]).convert('L') im = numpy.array(img) fft_mag = numpy.abs(numpy.fft.fftshift(numpy.fft.fft2(im))) visual = numpy.log(fft_mag) visual = (visual - visual.min()) / (visual.max() - visual.min()) result = Image.fromarray((visual * 255).astype(numpy.uint8)) result.save('out.bmp')
You should be able to simply let PIL get the filetype from extension, i.e. use:
j.save("C:/Users/User/Desktop/mesh_trans.bmp")
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