File:Pixel vs subpixel precision.gif
Summary
Description |
English: This is a simple animation, created with Python, that compares side-by-side pixel precision vs subpixel precision in line rasterization. |
Date | |
Source | Own work |
Author | Drummyfish |
Source code | # Simple animation showing pixel vs subpixel accuracy.
# by Miloslav Ciz, released under CC0 1.0
from PIL import Image
import math
SCALE = 8
FRAMES = 64
RESOLUTION = (32,16)
img = Image.new("RGB",(RESOLUTION[0] * SCALE,RESOLUTION[1] * SCALE),"white")
pixels = img.load()
def drawLine(p0, p1):
slope = (p1[1] - p0[1]) / float(p1[0] - p0[0])
for i in range(int(p1[0] - p0[0] + 1)):
x = round(p0[0] + i) * SCALE
y = round(p0[1] + i * slope) * SCALE
for b in range(SCALE):
for a in range(SCALE):
pixels[x + a,y + b] = (0,0,0)
for f in range(FRAMES):
img.paste((255,255,255),(0,0,img.size[0],img.size[1]))
t = f / float(FRAMES) * math.pi * 2
x0 = 3
x1 = 13
y0 = 8 + math.sin(t) * 3
y1 = 7 + math.cos(t)
x0 += (RESOLUTION[0] / 2)
x1 += (RESOLUTION[0] / 2)
drawLine((x0,y0),(x1,y1))
x0 -= (RESOLUTION[0] / 2)
x1 -= (RESOLUTION[0] / 2)
y0 = round(y0)
y1 = round(y1)
drawLine((x0,y0),(x1,y1))
for i in range(RESOLUTION[1] * SCALE):
pixels[int(RESOLUTION[0] * SCALE / 2),i] = (0,0,0)
img.save("out" + str(f).zfill(2) + ".png")
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Licensing
I, the copyright holder of this work, hereby publish it under the following license:
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This file is made available under the Creative Commons CC0 1.0 Universal Public Domain Dedication. |
The person who associated a work with this deed has dedicated the work to the public domain by waiving all of their rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law. You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission.
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