Post by Robin on Dec 4, 2017 19:22:32 GMT 8
I'm facing the issue where if an image contains any NaNs, profoundImBlur(/Diff/Grad) will produce an image that is completely filled with NaNs; not quite the desired effect, of course.
I've tried converting the NaN pixels into zeros for instance, but the issue is that after the blurring process, these pixels are, of course, no longer "==0" and so it's difficult to convert them back to NaNs.
Is there no way to avoid this in these functions? If not, do you have any suggestions for getting around such a problem?
I've tried converting the NaN pixels into zeros for instance, but the issue is that after the blurring process, these pixels are, of course, no longer "==0" and so it's difficult to convert them back to NaNs.
Is there no way to avoid this in these functions? If not, do you have any suggestions for getting around such a problem?
