Image scaling library in Rust

Rust image scale in different color spaces using SIMD and multithreading.

Supported only NEON and SSE.

Colorspace

This library provides for you some conveniences to scale in different color spaces. Prebuilt options for CIE L*a*b, CIE L*u*v, CIE L*c*h, Linear, Sigmoidal available. Those transformations also very efficients. Whether downscaling is preferred in linear colorspace, LAB/LUV and sigmoidal also provides very good results. Up scaling might be done in LAB/LUB and simoidized components and also efficient in sRGB.

Example integration with image crate

let img = ImageReader::open("./assets/asset.png")
    .unwrap()
    .decode()
    .unwrap();
let dimensions = img.dimensions();
let mut bytes = Vec::from(img.as_bytes());

let mut scaler = LinearScaler::new(ResamplingFunction::Lanczos3);
scaler.set_threading_policy(ThreadingPolicy::Adaptive);
let store =
    ImageStore::<u8, 4>::from_slice(&mut bytes, dimensions.0 as usize, dimensions.1 as usize);
let resized = scaler.resize_rgba(
    ImageSize::new(dimensions.0 as usize / 2, dimensions.1 as usize / 2),
    store,
    true
);

Performance

Faster or comparable to fast-image-resize, when implemented equal SIMD and pixel type.

Example comparison time for downscale RGB 4928x3279 image in two times for x86_64 SSE.

M3 Pro. NEON

Example comparison time for downscale RGBA 4928x3279 image in two times for x86_64 SSE with premultiplying alpha.

M3 Pro. NEON

Example comparison time for downscale RGBA 4928x3279 image in two times for x86_64 SSE without premultiplying alpha.

M3 Pro. NEON

Example in sRGB

In common, you should not downsize an image in sRGB colorspace, however if speed is more preferable than more proper scale you may omit linearizing

let mut scaler = Scaler::new(ResamplingFunction::Hermite);
scaler.set_threading_policy(ThreadingPolicy::Single);
let store =
    ImageStore::<u8, 4>::from_slice(&mut bytes, width, height);
let resized = scaler.resize_rgba(
    ImageSize::new(new_width, new_height),
    store,
    true
);

Example in linear

At the moment only sRGB transfer function is supported. This is also good optimized path so it is reasonably fast.

let mut scaler = LinearScaler::new(ResamplingFunction::Lanczos3);
scaler.set_threading_policy(ThreadingPolicy::Single);
let store =
    ImageStore::<u8, 4>::from_slice(&mut bytes, width, height);
let resized = scaler.resize_rgba(
    ImageSize::new(new_width, new_height),
    store,
    true
);

Example in CIE L*a*b

let mut scaler = LabScaler::new(ResamplingFunction::Hermite);
scaler.set_threading_policy(ThreadingPolicy::Single);
let store =
    ImageStore::<u8, 4>::from_slice(&mut bytes, width, height);
let resized = scaler.resize_rgba(
    ImageSize::new(new_width, new_height),
    store,
    true
);

Example in CIE L*u*v

let mut scaler = LuvScaler::new(ResamplingFunction::Hermite);
scaler.set_threading_policy(ThreadingPolicy::Single);
let store =
    ImageStore::<u8, 4>::from_slice(&mut bytes, width, height);
let resized = scaler.resize_rgba(
    ImageSize::new(new_width, new_height),
    store,
    true
);

Example in CIE XYZ colorspace

let mut scaler = XYZScale::new(ResamplingFunction::Hermite);
scaler.set_threading_policy(ThreadingPolicy::Single);
let store =
    ImageStore::<u8, 4>::from_slice(&mut bytes, width, height);
let resized = scaler.resize_rgba(
    ImageSize::new(new_width, new_height),
    store,
    true
);

Example in Sigmoidal colorspace

let mut scaler = SigmoidalScaler::new(ResamplingFunction::Hermite);
scaler.set_threading_policy(ThreadingPolicy::Single);
let store =
    ImageStore::<u8, 4>::from_slice(&mut bytes, width, height);
let resized = scaler.resize_rgba(
    ImageSize::new(new_width, new_height),
    store,
    true
);

Resampling filters

Over 30 resampling filters is supported.

Bilinear
Nearest
Cubic
MitchellNetravalli
CatmullRom
Hermite
BSpline
Hann
Bicubic
Hamming
Hanning
Blackman

And others