Using the Python Imaging Library, I can call
img.convert("P", palette=Image.ADAPTIVE)
or
img.convert("P", palette=Image.WEB)
but is there a way to convert to an arbitrary palette?
p = []
for i in range(0, 256):
p.append(i, 0, 0)
img.convert("P", palette=p)
where it'll map each pixel to the closest colour found in the image? Or is this supported for Image.WEB
and nothing else?
While looking through the source code of convert()
I saw that it references im.quantize
.
quantize
can take a palette argument. If you provide an Image that has a palette, this function will take that palette and apply it to the image.
Example:
src = Image.open("sourcefilewithpalette.bmp")
new = Image.open("unconvertednew24bit.bmp")
converted = new.quantize(palette=src)
converted.save("converted.bmp")
The other provided answer didn't work for me (it did some really bad double palette conversion or something,) but this solution did.