diff --git a/src/ImageSharp/Processing/Processors/Transforms/Resamplers/CubicResampler.cs b/src/ImageSharp/Processing/Processors/Transforms/Resamplers/CubicResampler.cs index 41228e4111..4807b573e8 100644 --- a/src/ImageSharp/Processing/Processors/Transforms/Resamplers/CubicResampler.cs +++ b/src/ImageSharp/Processing/Processors/Transforms/Resamplers/CubicResampler.cs @@ -10,7 +10,7 @@ namespace SixLabors.ImageSharp.Processing.Processors.Transforms; /// Cubic filters contain a collection of different filters of varying B-Spline and /// Cardinal values. With these two values you can generate any smoothly fitting /// (continuious first derivative) piece-wise cubic filter. -/// +/// /// /// public readonly struct CubicResampler : IResampler @@ -39,23 +39,23 @@ namespace SixLabors.ImageSharp.Processing.Processors.Transforms; /// /// The function implements the Robidoux algorithm. - /// + /// /// public static readonly CubicResampler Robidoux = new(2, .37821575509399867F, .31089212245300067F); /// /// The function implements the Robidoux Sharp algorithm. - /// + /// /// public static readonly CubicResampler RobidouxSharp = new(2, .2620145123990142F, .3689927438004929F); /// /// The function implements the spline algorithm. - /// + /// /// /// /// The function implements the Robidoux Sharp algorithm. - /// + /// /// public static readonly CubicResampler Spline = new(2, 1, 0); diff --git a/src/ImageSharp/Processing/Processors/Transforms/Resamplers/WelchResampler.cs b/src/ImageSharp/Processing/Processors/Transforms/Resamplers/WelchResampler.cs index de0fe3f802..b866dbb017 100644 --- a/src/ImageSharp/Processing/Processors/Transforms/Resamplers/WelchResampler.cs +++ b/src/ImageSharp/Processing/Processors/Transforms/Resamplers/WelchResampler.cs @@ -8,7 +8,7 @@ namespace SixLabors.ImageSharp.Processing.Processors.Transforms; /// /// The function implements the welch algorithm. -/// +/// /// public readonly struct WelchResampler : IResampler {