Dear Roman, Am 27.04.2017 um 14:02 schrieb Roman Lebedev:
Are there any actual use-cases for this algorithm, specifically in darktable?
if I understand it correctly, this kind of filter removes various kinds of blur that might be caused by imperfections of the optical system or motions of the camera. The use-case would be similar to the use-case of the sharpening module. This filter, however, is much more powerful than an unsharp mask.
I'd imagine 95+% of blurred images/images with motion blur where that is not intentional, would be deleted and not processed..
This is true because traditional sharpening methods are unable to improve the quality and sharpness of such blurred images. Adaptive deconvolution algorithms, however, promise to improve even these kinds of images considerably.
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