pub enum ResizeAlgorithm {
    Nearest,
    Box,
    Bilinear,
    Hamming,
    Bicubic,
    Mitchell,
    Lanczos3,
}
Expand description

A filtering algorithm that is used to resize an image.

Variants

Nearest

A simple nearest neighbor algorithm. Although the fastest, this gives the lowest quality resizings.

When upscaling this is good if you want a “pixelated” effect with no aliasing.

Box

A box filter algorithm. Equivalent to the [Nearest] filter if you are upscaling.

Bilinear

A bilinear filter. Calculates output pixel value using linear interpolation on all pixels.

Hamming

While having similar performance as the [Bilinear] filter, this produces a sharper and usually considered better quality image than the [Bilinear] filter, but only when downscaling. This may give worse results than bilinear when upscaling.

Bicubic

A Catmull-Rom bicubic filter, which is the most common bicubic filtering algorithm. Just like all cubic filters, it uses cubic interpolation on all pixels to calculate output pixels.

Mitchell

A Mitchell-Netravali bicubic filter. Just like all cubic filters, it uses cubic interpolation on all pixels to calculate output pixels.

Lanczos3

A Lanczos filter with a window of 3. Calculates output pixel value using a high-quality Lanczos filter on all pixels.

Trait Implementations

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Auto Trait Implementations

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