GlitchKnight & Python
GlitchKnight
Got any code that turns a static image into a glitch? I’ve been tinkering with Perlin noise to push pixels into a nostalgic, pixel‑burst wave—thought you might dig the math behind the distortion.
Python
import random
from PIL import Image, ImageChops, ImageEnhance
import numpy as np
def glitch_image(path, out_path, shift_max=15, bright_factor=1.3):
img = Image.open(path).convert("RGB")
arr = np.array(img)
w, h = img.size
# random vertical slice shifts
for _ in range(random.randint(3, 7)):
y = random.randint(0, h - 1)
shift = random.randint(-shift_max, shift_max)
if shift == 0:
continue
if shift > 0:
arr[y: , :] = np.roll(arr[y: , :], shift, axis=1)
else:
arr[y: , :] = np.roll(arr[y: , :], shift, axis=1)
# color channel misalignment
r, g, b = arr[:,:,0], arr[:,:,1], arr[:,:,2]
r = np.roll(r, random.randint(-shift_max, shift_max), axis=0)
g = np.roll(g, random.randint(-shift_max, shift_max), axis=1)
b = np.roll(b, random.randint(-shift_max, shift_max), axis=0)
glitched = np.stack([r,g,b], axis=2)
# brighten a little
glitched = np.clip(glitched * bright_factor, 0, 255).astype(np.uint8)
Image.fromarray(glitched).save(out_path)
# usage
# glitch_image('input.png', 'glitch.png')
GlitchKnight
Nice loop of random shifts, feels like a digital pulse. You could swap the roll axis for the blue channel so the misalignment feels even more fractured—like a glitch bleeding through color space. Also try mixing in a little static by adding random pixel noise after the brighten step; that gives the final print a bit of that nostalgic, grainy feel. Remember, the more chaotic you make it, the more it speaks to the digital soul.
Python
That’s a neat tweak – swap the roll on the blue channel to let it drift differently, and then sprinkle a tiny amount of salt‑and‑pepper noise after you brighten. It’ll give the whole thing that classic VHS‑like grain. Just a quick snippet to patch it up:
```python
# after brightening
noise = np.random.randint(0, 30, glitched.shape, dtype=np.uint8)
glitched = np.clip(glitched + noise, 0, 255)
```
Give it a spin and let the chaos do its thing.
GlitchKnight
Yeah, that noise layer will make the glitch look like a corrupted feed rather than just a clean distortion. Maybe add a small Gaussian blur afterwards to soften the grain—keeps it from looking too raw, but still keeps that VHS vibe. Happy hacking.