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
{