pic-scale

PyPI CI Python

High-performance image resampling for Python — a drop-in replacement for PIL.Image.resize backed by a SIMD-optimized Rust engine.

Installation

pip install pic-scale

Pre-built wheels for Linux (x86-64, aarch64), macOS (Intel + Apple Silicon), and Windows (x86-64). No Rust toolchain needed.

Quick start

from PIL import Image
from pic_scale import resize, Resampling

img = Image.open("photo.jpg")
out = resize(img, (800, 600), Resampling.LANCZOS)
out.save("small.jpg")

That's the entire API change from Pillow — swap img.resize(...) for resize(img, ...).

Resampling filters

Filter Resampling constant Notes
Nearest neighbour NEAREST Fastest, blocky
Bilinear BILINEAR Fast, smooth
Bicubic BICUBIC Keys cubic a = −0.5
Lanczos / sinc LANCZOS Window 3, Pillow default for quality
Lanczos 2 LANCZOS2 Faster, slightly softer
Lanczos 4 LANCZOS4 Slower, very sharp
Box / area BOX Best for downscaling
Hamming HAMMING
Mitchell-Netravali MITCHELL B=1/3 C=1/3, balanced
Catmull-Rom CATMULL_ROM Sharper than Mitchell
Gaussian GAUSSIAN
Hann HANN

Supported Pillow modes

Mode Description
L 8-bit grayscale
LA 8-bit grayscale + alpha
RGB 8-bit color
RGBA 8-bit color + alpha
I;16 16-bit grayscale
F 32-bit float grayscale

Other Pillow modes (CMYK, YCbCr, P, …) must be converted first:

out = resize(img.convert("RGB"), (800, 600))

Alpha premultiplication

For LA and RGBA images, premultiply_alpha=True (the default) pre-multiplies RGB by alpha before resampling and un-multiplies afterward. This prevents dark fringing around transparent edges — the same technique Photoshop and modern compositors use.

# Correct — no dark halos around transparency
out = resize(img, (400, 400), Resampling.LANCZOS, premultiply_alpha=True)

# Disable if your pipeline handles premultiplication separately
out = resize(img, (400, 400), Resampling.LANCZOS, premultiply_alpha=False)

Multithreading

Pass workers to use multiple threads. 0 lets pic-scale choose automatically based on the image size and core count.

out = resize(img, (3840, 2160), Resampling.LANCZOS, workers=0)

Plan — reuse across many frames

When resizing a stream of images with the same source and target dimensions, create a Plan once and reuse it. Filter weights are computed once at construction; subsequent calls skip that work entirely.

from pic_scale import Plan, Resampling

plan = Plan(
    src_size=(1920, 1080),
    dst_size=(960,  540),
    resampling=Resampling.LANCZOS,
    mode="RGB",
)

for frame in video_frames:
    small = plan.resize(frame)
    encoder.write(small)

The plan validates that each incoming image has the correct mode and raises ValueError immediately if it doesn't, so mode mismatches are caught early.

API reference

resize(image, size, resampling, premultiply_alpha, workers)

Parameter Type Default Description
image PIL.Image.Image — Source image
size (int, int) — Target (width, height)
resampling Resampling LANCZOS Filter
premultiply_alpha bool True Premultiply alpha for LA/RGBA
workers int 1 Thread count; 0 = adaptive

Returns a new PIL.Image.Image in the same mode as the input.

Plan(src_size, dst_size, resampling, mode, premultiply_alpha, workers)

Parameter Type Default Description
src_size (int, int) — Source (width, height)
dst_size (int, int) — Target (width, height)
resampling Resampling — Filter
mode str — Pillow mode string
premultiply_alpha bool True Premultiply alpha
workers int 1 Thread count; 0 = adaptive

Plan.resize(image) → PIL.Image.Image

Resize image using the pre-computed plan. The image's mode must match the mode the plan was created with.

Comparison with Pillow

# Pillow
out = img.resize((800, 600), Image.Resampling.LANCZOS)

# pic-scale — same result, faster
from pic_scale import resize, Resampling
out = resize(img, (800, 600), Resampling.LANCZOS)

pic-scale does not replace Pillow — it only replaces the resize step. All other Pillow operations (open, save, color conversion, drawing, …) continue to use Pillow as normal.

License

BSD 3-Clause

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for awxkee from gravatar.com awxkee

License

BSD-3-Clause

Requires

Python >=3.9

Provides Extra

dev

Tags

image resize resampling pillow simd lanczos bicubic

Classifiers

Report project as malware

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