Repository navigation
Grayscale PNG image incorrectly converted to RGB #2574
Description
Activity
So what's happening here is that the convert from 'I' to 'L' loses information, and the conversion isn't done is a particularly useful fashion. It's clamping the range of the 16bit image to 0-255, rather than (auto)scaling it.
Unfortunately, I don't see a quick way to autorange the image so that it fits into the destination image format, but there's a workaround with imagemath. (any of the embedded functions that rely on histogram or lookup tables aren't going to work)
>>> from PIL import ImageMath >>> im2 = ImageMath.eval('im/256', {'im':im}).convert('L')I'm going to call this "documented workaround" and close.
Reacted by David Keck, AeroScripts, Zach Barry, Rogier, marcb19990, Maurice Manshanden, Aaditya Saraiya, LeonLu, Anand , Artlec and 8 moreThis should be re-opened and fixed IMO. Or at least better documented. Digging into closed issues isn't intuitive. It took quite a while to find this fix.
Reacted by Miguel Varela Ramos, Vincent Botta, Ali Panahi, AeroScripts, micah5, Zach Barry, Penghao Zhao, Alexander Sobolev, Pavan Teja Varigonda, Anand and 8 more
I have a PNG image which incorrectly converts to RGB mode. This is a grayscale 16-bit image, presumably created in Photoshop. When I open it with Pillow, mode of an image is described as
"I". I tried to convert it by calling:All I received was a white image with only black pixels rgb(0, 0, 0) copied from the original. I am using newest version of Pillow (4.1.1), problem appears both in Python 2.7 & 3.6.
I am attaching 2 files: