ii-pix/dither.py

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import argparse
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import bz2
import functools
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import os.path
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import pickle
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import time
from typing import Tuple
from PIL import Image
import numpy as np
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import dither_apply
# TODO:
# - only lookahead for 560px
# - palette class
# - compare to bmp2dhr and a2bestpix
def srgb_to_linear_array(a: np.ndarray, gamma=2.4) -> np.ndarray:
return np.where(a <= 0.04045, a / 12.92, ((a + 0.055) / 1.055) ** gamma)
def linear_to_srgb_array(a: np.ndarray, gamma=2.4) -> np.ndarray:
return np.where(a <= 0.0031308, a * 12.92, 1.055 * a ** (1.0 / gamma) -
0.055)
def srgb_to_linear(im: np.ndarray) -> np.ndarray:
rgb_linear = srgb_to_linear_array(im / 255.0, gamma=2.4)
return (np.clip(rgb_linear, 0.0, 1.0) * 255).astype(np.float32)
def linear_to_srgb(im: np.ndarray) -> np.ndarray:
srgb = linear_to_srgb_array(im / 255.0, gamma=2.4)
return (np.clip(srgb, 0.0, 1.0) * 255).astype(np.float32)
# Default bmp2dhr palette
RGB = {
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0: np.array((0, 0, 0)), # Black
8: np.array((148, 12, 125)), # Magenta
4: np.array((99, 77, 0)), # Brown
12: np.array((249, 86, 29)), # Orange
2: np.array((51, 111, 0)), # Dark green
10: np.array((126, 126, 125)), # Grey2
6: np.array((67, 200, 0)), # Green
14: np.array((221, 206, 23)), # Yellow
1: np.array((32, 54, 212)), # Dark blue
9: np.array((188, 55, 255)), # Violet
5: np.array((126, 126, 126)), # Grey1
13: np.array((255, 129, 236)), # Pink
3: np.array((7, 168, 225)), # Med blue
11: np.array((158, 172, 255)), # Light blue
7: np.array((93, 248, 133)), # Aqua
15: np.array((255, 255, 255)), # White
}
# Maps palette values to screen dots. Note that these are the same as
# the binary values in reverse order.
DOTS = {
0: (False, False, False, False),
1: (True, False, False, False),
2: (False, True, False, False),
3: (True, True, False, False),
4: (False, False, True, False),
5: (True, False, True, False),
6: (False, True, True, False),
7: (True, True, True, False),
8: (False, False, False, True),
9: (True, False, False, True),
10: (False, True, False, True),
11: (True, True, False, True),
12: (False, False, True, True),
13: (True, False, True, True),
14: (False, True, True, True),
15: (True, True, True, True)
}
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DOTS_TO_4BIT = {}
for k, v in DOTS.items():
DOTS_TO_4BIT[v] = k
# OpenEmulator
sRGB = {
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0: np.array((0, 0, 0)), # Black
8: np.array((206, 0, 123)), # Magenta
4: np.array((100, 105, 0)), # Brown
12: np.array((247, 79, 0)), # Orange
2: np.array((0, 153, 0)), # Dark green
# XXX RGB values are used as keys in DOTS dict, need to be unique
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10: np.array((131, 132, 132)), # Grey2
6: np.array((0, 242, 0)), # Green
14: np.array((216, 220, 0)), # Yellow
1: np.array((21, 0, 248)), # Dark blue
9: np.array((235, 0, 242)), # Violet
5: np.array((140, 140, 140)), # Grey1 # XXX
13: np.array((244, 104, 240)), # Pink
3: np.array((0, 181, 248)), # Med blue
11: np.array((160, 156, 249)), # Light blue
7: np.array((21, 241, 132)), # Aqua
15: np.array((244, 247, 244)), # White
}
# # Virtual II (sRGB)
# sRGB = {
# (False, False, False, False): np.array((0, 0, 0)), # Black
# (False, False, False, True): np.array((231,36,66)), # Magenta
# (False, False, True, False): np.array((154,104,0)), # Brown
# (False, False, True, True): np.array((255,124,0)), # Orange
# (False, True, False, False): np.array((0,135,45)), # Dark green
# (False, True, False, True): np.array((104,104,104)), # Grey2 XXX
# (False, True, True, False): np.array((0,222,0)), # Green
# (False, True, True, True): np.array((255,252,0)), # Yellow
# (True, False, False, False): np.array((1,30,169)), # Dark blue
# (True, False, False, True): np.array((230,73,228)), # Violet
# (True, False, True, False): np.array((185,185,185)), # Grey1 XXX
# (True, False, True, True): np.array((255,171,153)), # Pink
# (True, True, False, False): np.array((47,69,255)), # Med blue
# (True, True, False, True): np.array((120,187,255)), # Light blue
# (True, True, True, False): np.array((83,250,208)), # Aqua
# (True, True, True, True): np.array((255, 255, 255)), # White
# }
RGB = {}
for k, v in sRGB.items():
RGB[k] = (np.clip(srgb_to_linear_array(v / 255), 0.0, 1.0) * 255).astype(
np.uint8)
class ColourDistance:
@staticmethod
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def distance(rgb1: np.ndarray, rgb2: np.ndarray) -> np.ndarray:
raise NotImplementedError
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class CIE2000Distance(ColourDistance):
"""CIE2000 delta-E distance."""
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def __init__(self):
self._distances = np.memmap("distances.npy", mode="r+",
dtype=np.uint8, shape=(16777216, 16))
class Screen:
X_RES = None
Y_RES = None
X_PIXEL_WIDTH = None
def __init__(self):
self.main = np.zeros(8192, dtype=np.uint8)
self.aux = np.zeros(8192, dtype=np.uint8)
@staticmethod
def y_to_base_addr(y: int) -> int:
"""Maps y coordinate to screen memory base address."""
a = y // 64
d = y - 64 * a
b = d // 8
c = d - 8 * b
return 1024 * c + 128 * b + 40 * a
def _image_to_bitmap(self, image: np.ndarray) -> np.ndarray:
raise NotImplementedError
def pack(self, image: np.ndarray):
bitmap = self._image_to_bitmap(image)
# The DHGR display encodes 7 pixels across interleaved 4-byte sequences
# of AUX and MAIN memory, as follows:
# PBBBAAAA PDDCCCCB PFEEEEDD PGGGGFFF
# Aux N Main N Aux N+1 Main N+1 (N even)
main_col = np.zeros(
(self.Y_RES, self.X_RES * self.X_PIXEL_WIDTH // 14), dtype=np.uint8)
aux_col = np.zeros(
(self.Y_RES, self.X_RES * self.X_PIXEL_WIDTH // 14), dtype=np.uint8)
for byte_offset in range(80):
column = np.zeros(self.Y_RES, dtype=np.uint8)
for bit in range(7):
column |= (bitmap[:, 7 * byte_offset + bit].astype(
np.uint8) << bit)
if byte_offset % 2 == 0:
aux_col[:, byte_offset // 2] = column
else:
main_col[:, (byte_offset - 1) // 2] = column
for y in range(self.Y_RES):
addr = self.y_to_base_addr(y)
self.aux[addr:addr + 40] = aux_col[y, :]
self.main[addr:addr + 40] = main_col[y, :]
@staticmethod
def pixel_palette_options(last_pixel, x: int):
raise NotImplementedError
class DHGR140Screen(Screen):
"""DHGR screen ignoring colour fringing, i.e. treating as 140x192x16."""
X_RES = 140
Y_RES = 192
X_PIXEL_WIDTH = 4
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def _image_to_bitmap(self, image_4bit: np.ndarray) -> np.ndarray:
bitmap = np.zeros(
(self.Y_RES, self.X_RES * self.X_PIXEL_WIDTH), dtype=np.bool)
for y in range(self.Y_RES):
for x in range(self.X_RES):
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pixel = image_4bit[y, x].item()
dots = DOTS[pixel]
bitmap[y, x * self.X_PIXEL_WIDTH:(
(x + 1) * self.X_PIXEL_WIDTH)] = dots
return bitmap
@staticmethod
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def pixel_palette_options(last_pixel_4bit, x: int):
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return np.array(list(RGB.keys())), np.array(list(RGB.values()))
class DHGR560Screen(Screen):
"""DHGR screen including colour fringing."""
X_RES = 560
Y_RES = 192
X_PIXEL_WIDTH = 1
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def _image_to_bitmap(self, image_4bit: np.ndarray) -> np.ndarray:
bitmap = np.zeros((self.Y_RES, self.X_RES), dtype=np.bool)
for y in range(self.Y_RES):
for x in range(self.X_RES):
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pixel = image_4bit[y, x]
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dots = DOTS[pixel]
phase = x % 4
bitmap[y, x] = dots[phase]
return bitmap
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@staticmethod
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def pixel_palette_options(last_pixel_4bit, x: int):
last_dots = DOTS[last_pixel_4bit]
other_dots = list(last_dots)
other_dots[x % 4] = not other_dots[x % 4]
other_dots = tuple(other_dots)
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other_pixel_4bit = DOTS_TO_4BIT[other_dots]
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return (
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np.array([last_pixel_4bit, other_pixel_4bit]),
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np.array([RGB[last_pixel_4bit], RGB[other_pixel_4bit]]))
class Dither:
PATTERN = None
ORIGIN = None
class FloydSteinbergDither(Dither):
# 0 * 7
# 3 5 1
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PATTERN = np.array(((0, 0, 7), (3, 5, 1)),
dtype=np.float32).reshape(2, 3, 1) / np.float(16)
# XXX X_ORIGIN since ORIGIN[0] == 0
ORIGIN = (0, 1)
class BuckelsDither(Dither):
# 0 * 2 1
# 1 2 1 0
# 0 1 0 0
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PATTERN = np.array(((0, 0, 2, 1), (1, 2, 1, 0), (0, 1, 0, 0)),
dtype=np.float32).reshape(3, 4, 1) / np.float32(8)
ORIGIN = (0, 1)
class JarvisDither(Dither):
# 0 0 X 7 5
# 3 5 7 5 3
# 1 3 5 3 1
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PATTERN = np.array(((0, 0, 0, 7, 5), (3, 5, 7, 5, 3), (1, 3, 5, 3, 1)),
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dtype=np.float32).reshape(3, 5, 1) / np.float32(48)
ORIGIN = (0, 2)
def open_image(screen: Screen, filename: str) -> np.ndarray:
im = Image.open(filename)
# TODO: convert to sRGB colour profile explicitly, in case it has some other
# profile already.
if im.mode != "RGB":
im = im.convert("RGB")
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# Convert to linear RGB before rescaling so that colour interpolation is
# in linear space
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linear = srgb_to_linear(np.asarray(im)).astype(np.uint8)
rescaled = Image.fromarray(linear).resize(
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(screen.X_RES, screen.Y_RES), Image.LANCZOS)
# XXX work with malloc'ed array?
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return np.array(rescaled).astype(np.float32)
def main():
parser = argparse.ArgumentParser()
parser.add_argument("input", type=str, help="Input file to process")
parser.add_argument("output", type=str, help="Output file for ")
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parser.add_argument(
"--lookahead", type=int, default=4,
help=("How many pixels to look ahead to compensate for NTSC colour "
"artifacts."))
args = parser.parse_args()
# screen = DHGR140Screen()
screen = DHGR560Screen()
image = open_image(screen, args.input)
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# image_rgb.show()
# dither = FloydSteinbergDither()
# dither = BuckelsDither()
dither = JarvisDither()
differ = CIE2000Distance()
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start = time.time()
output_4bit, output_rgb = dither_apply.dither_image(screen, image, dither,
differ,
lookahead=args.lookahead)
print(time.time() - start)
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screen.pack(output_4bit)
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out_image = Image.fromarray(linear_to_srgb(output_rgb).astype(np.uint8))
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outfile = os.path.join(os.path.splitext(args.output)[0] + ".png")
out_image.save(outfile, "PNG")
out_image.show(title=outfile)
# bitmap = Image.fromarray(screen.bitmap.astype('uint8') * 255)
with open(args.output, "wb") as f:
f.write(bytes(screen.main))
f.write(bytes(screen.aux))
if __name__ == "__main__":
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main()