![]() The problem I was facing is that quantize() in dist-packages/PIL/Image.py forces the dither argument to 1. paletteimage (optional): An ImagingCore with a palette.dither (optional, default 0): PIL passes 0 or 1.It takes one to three arguments and creates a new ImagingCore object (called Imaging_Type within _imaging.c). The convert method of ImagingCore objects is implemented in _imaging.c. You can list its methods with help(oldimage.im), but the methods themselves are undocumented from within Python. The parts of PIL implemented in C are in the PIL._imaging module, also available as re after you from PIL import Image.Ĭurrent versions of Pillow give every instance a member named im which is an instance of ImagingCore, a class defined within PIL._imaging. Prior to Pillow 6, the following was needed: Which adds the dither argument to the ordinary quantize() method. Pillow 6 incorporates pull request 3699, merged on , How do I automatically convert an image to a specific palette without dithering? I would like to avoid a solution that processes each individual pixel in Python, as suggested in John La Rooy's answer and comments thereto, because my previous solution involving an inner loop written in Python has proven to be noticeably slow for large images. Newimage = nvert('P', dither=Image.NONE, palette=palettedata) ![]() I tried (), and it converted the image without dithering, but it included colors other than those specified, presumably because it used either a web palette or an adaptive palette from PIL import Image Newimage = oldimage.quantize(palette=palimage) Oldimage = Image.open("School_scrollable1.png") I tried () as mentioned in pictu's answer to a similar question, but it also produced dithering: from PIL import Image Newimage.paste(oldimage, (0, 0) + oldimage.size) I tried (), and it used the four specified colors, but it produced a dithered image: from PIL import Image ![]() But I want to convert using the "round to closest color" method, not dithering, because the image is pixel art and dithering would distort the outlines of areas and add noise to areas that are intended to be flat. I am trying to convert an RGB image in PNG format to use a specific indexed palette using the Pillow library (Python Image Library, PIL).
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