Rust image scale in different color spaces using SIMD and multithreading.
Supported NEON, SSE, AVX-2, AVX-512, AVX-VNNI, WASM.
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, Oklab, Jzazbz available.
Those transformations also very efficients.
Prefer downscale in linear colorspace or XYZ.
Up scaling might be done in LAB/LUB and simoidized components and also efficient in sRGB.
Have good f16 (the “binary16” type defined in IEEE 754-2008) support.
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);
// ImageStore::<u8, 4> - (u8, 4) represents RGBA, (u8, 3) - RGB etc
let store =
ImageStore::<u8, 4>::from_slice(&mut bytes, dimensions.0 as usize, dimensions.1 as usize).unwrap();
let mut dst_store = ImageStoreMut::<u8, 4>::alloc(dimensions.0 as usize / 2, dimensions.1 as usize / 2);
let resized = scaler.resize_rgba(
&store,
&mut dst_store,
true
);
let resized_image = resized.as_bytes();Despite all implementation are fast, not all the paths are implemented using SIMD, so some paths are slower
~ - Partially implemented
| NEON | SSE | AVX2 | AVX-512 | WASM | |
|---|---|---|---|---|---|
| RGBA (8 bit) | x | x | x | x(avxvnni) | x |
| RGB (8 bit) | x | x | x | x(avxvnni) | x |
| Plane (8 bit) | x | x | ~ | ~ | ~ |
| RGBA (8+ bit) | x | x | x | x(avxvnni) | - |
| RGB (8+ bit) | x | ~ | ~ | ~ | - |
| Plane (8+ bit) | x | ~ | x | ~ | - |
| RGBA (f32) | x | x | x | - | - |
| RGB (f32) | x | x | x | - | - |
| Plane (f32) | x | x | x | - | - |
| RGBA (f16) | x | x | x | - | - |
| RGB (f16) | x | ~ | ~ | - | - |
| Plane (f16) | ~ | ~ | ~ | - | - |
| AR30/RA30 | x | x | x | - | - |
Features:
- To enable support of
f16the featurenightly_f16should be activated andnightlycompiler are required. nightly_avx512activates AVX-512 feature set and requiresnightlycompiler channel
For x86 and aarch64 NEON runtime dispatch is used.
neon optional target features are available, enable it when compiling on supported platform to get full features.
avx2, fma, sse4.1, f16c will be detected automatically if available, no additional actions need, and called the best path.
avx512 requires feature nightly_avx512 and requires nightly compiler channel, runtime detection if it is available then will be used.
avxvnni requires feature nightly_avx512 and requires nightly compiler channel, runtime detection if it is available then will be used.
AVX-VNNI is helpful extension on modern Intel and AMD CPU's, consider turn it on to get maximum performance.
fullfp16, fhm NEON target detection performed in runtime, when available best the best paths for f16 images are available on ARM.
WASM simd128 target feature activating is mandatory in build flags.
To enable full support of f16 half feature should be used, and f16c enabled when targeting x86 platforms.
For NEON f16 feature use runtime detection, if CPU supports this feature then the very fast path is available
Even when half feature activated but platform do not support or features not enabled for f16 speed will be slow
In common, you should not downsize an image in sRGB colorspace, however if speed is more preferable than more proper scale, then you may omit linearizing
let mut scaler = Scaler::new(ResamplingFunction::Hermite);
scaler.set_threading_policy(ThreadingPolicy::Single);
let store = ImageStore::<u8, 4>::from_slice(&bytes, width, height).unwrap();
let mut dst_store = ImageStoreMut::<u8, 4>::alloc(width / 2, height / 2);
let resized = scaler.resize_rgba(
&store,
&mut dst_store,
true
);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(&bytes, width, height).unwrap();
let mut dst_store = ImageStoreMut::<u8, 4>::alloc(width / 2, height / 2);
let resized = scaler.resize_rgba(
&store,
&mut dst_store,
true
);let mut scaler = LabScaler::new(ResamplingFunction::Hermite);
scaler.set_threading_policy(ThreadingPolicy::Single);
let store = ImageStore::<u8, 4>::from_slice(&bytes, width, height).unwrap();
let mut dst_store = ImageStoreMut::<u8, 4>::alloc(width / 2, height / 2);
let resized = scaler.resize_rgba(
&store,
&mut dst_store,
true
);let mut scaler = LuvScaler::new(ResamplingFunction::Hermite);
scaler.set_threading_policy(ThreadingPolicy::Single);
let store = ImageStore::<u8, 4>::from_slice(&bytes, width, height).unwrap();
let mut dst_store = ImageStoreMut::<u8, 4>::alloc(width / 2, height / 2);
let resized = scaler.resize_rgba(
&store,
&mut dst_store,
true
);let mut scaler = XYZScaler::new(ResamplingFunction::Hermite);
scaler.set_threading_policy(ThreadingPolicy::Single);
let store = ImageStore::<u8, 4>::from_slice(&bytes, width, height).unwrap();
let mut dst_store = ImageStoreMut::<u8, 4>::alloc(width / 2, height / 2);
let resized = scaler.resize_rgba(
&store,
&mut dst_store,
true
);let mut scaler = LChScaler::new(ResamplingFunction::Hermite);
scaler.set_threading_policy(ThreadingPolicy::Single);
let store = ImageStore::<u8, 4>::from_slice(&bytes, width, height).unwrap();
let mut dst_store = ImageStoreMut::<u8, 4>::alloc(width / 2, height / 2);
let resized = scaler.resize_rgba(
&store,
&mut dst_store,
true
);let mut scaler = OklabScaler::new(ResamplingFunction::Hermite);
scaler.set_threading_policy(ThreadingPolicy::Single);
let store = ImageStore::<u8, 4>::from_slice(&bytes, width, height).unwrap();
let mut dst_store = ImageStoreMut::<u8, 4>::alloc(width / 2, height / 2);
let resized = scaler.resize_rgba(
&store,
&mut dst_store,
true
);See picscale/include/picscale.h for more info
cd picscale && RUSTFLAGS="-C strip=symbols" cargo +nightly build -Z build-std=std,panic_abort --releaseOver 30 resampling filters is supported.
Bilinear
Nearest
Cubic
MitchellNetravalli
CatmullRom
Hermite
BSpline
Hann
Bicubic
Hamming
Hanning
BlackmanAnd others
This project is licensed under either of
at your option.