Keywords: Python, image processing, PIL/Pillow, libimagequant, macOS, quantise, quantize. Pip install -upgrade Pillow -global-option="build_ext" -global-option="-enable-imagequant" -global-option="-enable-zlib" To do that I wrote a linear equation for each stack using (0, 16 bit minimum) and (255, 16 bit max grey value). Therefore, I have to convert back to 16 bit to compare between different individuals and to grey values of phantoms. The steps, on macOS to build PIL/Pillow with libimagequant are as follows - they will differ on other platforms but you should be able to get the general idea and adapt: pip uninstall pillow # remove existing packageĮxport PKG_CONFIG_PATH="/usr/local/opt/zlib/lib/pkgconfig" How to convert Drag and drop a photo or a picture to the page, click the 'Convert' button, wait a little bit until its done and download the result. My understanding is that the 8-bit conversion transforms the 16-bit values with maximum becoming 255 and minimum 0. Im.quantize(colors=256, method=3).save('result.png') The code looks like this: #!/usr/bin/env python3 Ok, I found a way to get PIL/Pillow to do a better job, and as expected, it makes use of libimagequant which is not normally built into Pillow (at least on macOS where I am). Or, by shelling out to ImageMagick at the command-line and doing: magick logo.png -colors 255 png8:logo8.png # use "convert" in place of "magick" if using v6 Img.quantize(number_colors=256, colorspace_type='lab', treedepth=0, dither=False, measure_error=False) I can't find a way to get PIL to make a sensible palette image as a result, but can do it a couple of other ways.Įither with wand like this: #!/usr/bin/env python3 So, in this article, we have covered three methods to convert any image to 8-bit pixel art. 24-bit images will be separated into 8-bit images, and 48-bit images will be separated into 16-bit images. I think this does what you ask: from PIL import Image From the Display menu, select Color Separate.
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