imresize in PIL/scipy.misc only works for uint8 images? any alternatives?

Issue

It seems the imresize implemented in PIL/scipy.misc only works for uint8 images

>>> import scipy.misc
>>> im = np.random.rand(100,200)
>>> print im.dtype
float64

>>> im2 = scipy.misc.imresize(im, 0.5)
>>> print im2.dtype
uint8

Is there any way around this? I’d like to deal HDR images and therefore needs to deal with float64 or float32 images. Thanks.

Thanks to cgohlke’s comment. Below are two alternatives I found that works for float-number images.

For single-channel images: im2 = scipy.ndimage.interpolation.zoom(im, 0.5)

For 3-channel images: im2 = scipy.ndimage.interpolation.zoom(im, (0.5, 0.5, 1.0))

im2 = cv2.resize(im, (im.shape[1]/2, im.shape[0]/2))

This works for both single-channel and 3-channel images. Note that one needs to revert the shape order in second parameter.

Answered By – Ying Xiong

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