Table of Contents

Class Resampler

Namespace
SixLabors.ImageSharp.Web
Assembly
SixLabors.ImageSharp.Web.dll

Contains reusable static instances of known resampling algorithms.

public static class Resampler
Inheritance
Resampler
Inherited Members

Properties

Bicubic

Gets the Bicubic sampler that implements the bicubic kernel algorithm W(x)

public static ResamplerCommand Bicubic { get; }

Property Value

ResamplerCommand

Box

Gets the Box sampler that implements the box algorithm. Similar to nearest neighbor when upscaling. When downscaling the pixels will average, merging pixels together.

public static ResamplerCommand Box { get; }

Property Value

ResamplerCommand

CatmullRom

Gets the Catmull-Rom sampler, a well known standard Cubic Filter often used as a interpolation function

public static ResamplerCommand CatmullRom { get; }

Property Value

ResamplerCommand

Hermite

Gets the Hermite sampler. A type of smoothed triangular interpolation filter that rounds off strong edges while preserving flat 'color levels' in the original image.

public static ResamplerCommand Hermite { get; }

Property Value

ResamplerCommand

Lanczos2

Gets the Lanczos kernel sampler that implements smooth interpolation with a radius of 2 pixels. This algorithm provides sharpened results when compared to others when downsampling.

public static ResamplerCommand Lanczos2 { get; }

Property Value

ResamplerCommand

Lanczos3

Gets the Lanczos kernel sampler that implements smooth interpolation with a radius of 3 pixels This algorithm provides sharpened results when compared to others when downsampling.

public static ResamplerCommand Lanczos3 { get; }

Property Value

ResamplerCommand

Lanczos5

Gets the Lanczos kernel sampler that implements smooth interpolation with a radius of 5 pixels This algorithm provides sharpened results when compared to others when downsampling.

public static ResamplerCommand Lanczos5 { get; }

Property Value

ResamplerCommand

Lanczos8

Gets the Lanczos kernel sampler that implements smooth interpolation with a radius of 8 pixels This algorithm provides sharpened results when compared to others when downsampling.

public static ResamplerCommand Lanczos8 { get; }

Property Value

ResamplerCommand

MitchellNetravali

Gets the Mitchell-Netravali sampler. This seperable cubic algorithm yields a very good equilibrium between detail preservation (sharpness) and smoothness.

public static ResamplerCommand MitchellNetravali { get; }

Property Value

ResamplerCommand

NearestNeighbor

Gets the Nearest-Neighbour sampler that implements the nearest neighbor algorithm. This uses a very fast, unscaled filter which will select the closest pixel to the new pixels position.

public static ResamplerCommand NearestNeighbor { get; }

Property Value

ResamplerCommand

Robidoux

Gets the Robidoux sampler. This algorithm developed by Nicolas Robidoux providing a very good equilibrium between detail preservation (sharpness) and smoothness comparable to MitchellNetravali.

public static ResamplerCommand Robidoux { get; }

Property Value

ResamplerCommand

RobidouxSharp

Gets the Robidoux Sharp sampler. A sharpened form of the Robidoux sampler

public static ResamplerCommand RobidouxSharp { get; }

Property Value

ResamplerCommand

Spline

Gets the Spline sampler. A separable cubic algorithm similar to MitchellNetravali but yielding smoother results.

public static ResamplerCommand Spline { get; }

Property Value

ResamplerCommand

Triangle

Gets the Triangle sampler, otherwise known as Bilinear. This interpolation algorithm can be used where perfect image transformation with pixel matching is impossible, so that one can calculate and assign appropriate intensity values to pixels

public static ResamplerCommand Triangle { get; }

Property Value

ResamplerCommand

Welch

Gets the Welch sampler. A high speed algorithm that delivers very sharpened results.

public static ResamplerCommand Welch { get; }

Property Value

ResamplerCommand