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ResizeInterpolateCommandType Enumeration
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Leadtools.ImageProcessing.Core Namespace : ResizeInterpolateCommandType Enumeration



Represents the algorithm type used in resizing the image.

Syntax

Visual Basic (Declaration) 
Public Enum ResizeInterpolateCommandType 
   Inherits Enum
Visual Basic (Usage)Copy Code
Dim instance As ResizeInterpolateCommandType
C# 
public enum ResizeInterpolateCommandType : Enum 
C++/CLI 
public enum class ResizeInterpolateCommandType : public Enum 

Members

MemberDescription
Normal This is the fastest one. Not recommended at all, because aliasing is present everywhere.
Resample Use linear interpolation and averaging to produce a higher-quality image.
Bicubic Bicubic interpolation and averaging produces a high quality image. This is slower than ResizeInterpolateCommandType.Bilinear.
Triangle Triangular-peaked weighting average produces a high quality image.
Hermite Hermite interpolation produces a good quality image better than ResizeInterpolateCommandType.Bresenham but less than ResizeInterpolateCommandType.Bilinear. It uses the cubic spline from Hermite interpolation. This is Slower than ResizeInterpolateCommandType.Bilinear.
Bell Bell interpolation to produces a high quality .This filter blurs the image and at the same time it resizes If you want a performance similar to bicubic filtering, but your source image is noisy, then try this one.
QuadraticBSpline Quadratic B-Spline interpolation produces a smooth quality image but less than ResizeInterpolateCommandType.CubicBSpline. This is Faster than ResizeInterpolateCommandType.Bicubic but less than ResizeInterpolateCommandType.CubicBSpline.
CubicBSpline Cubic B-Spline interpolation produces a very smooth quality image(most blurry). One step further from ResizeInterpolateCommandType.Bell. A bit slower and more blurred image, but less noisy and less sharp though).This is faster than ResizeInterpolateCommandType.Bicubic.
BoxFilter Equivalent to Nearest Neighbor on upsampling, averages pixels on downsampling, gives best result for images with single pixels lines.
Lanczos Lanczos interpolation that uses Sinc (sinx/x) to produce a high quality image. Provides the best quality but it's rather slow.
Michell Michel interpolation produces a smooth quality image but less than ResizeInterpolateCommandType.Bell. A bit slower and more blurred image, but less noisy and less sharp though).This is faster than ResizeInterpolateCommandType.QuadraticBSpline. This is Slower than ResizeInterpolateCommandType.Bell. A bit slower and more blurred image, but less noisy and less sharp though).This is slower than ResizeInterpolateCommandType.Bicubic.
Cosine Uses the Cosine function in the interpolation to produce a good quality image.
Catrom CatmullRom interpolation produces a high quality image. Slower than ResizeInterpolateCommandType.Bicubic, but faster than ResizeInterpolateCommandType.Lanczos.
Quadratic Quadratic interpolation produces a high quality image, but less than ResizeInterpolateCommandType.Bilinear. Slower than ResizeInterpolateCommandType.Bicubic.
CubicConvolution Interpolation to produce high quality image (enhances the image edges). Slower than ResizeInterpolateCommandType.Bicubic.
Bilinear Bilinear interpolation and averaging produces a high-quality image. It is fast but slower than ResizeInterpolateCommandType.Normal and ResizeInterpolateCommandType.Bresenham.
Bresenham Bresenham interpolation and averaging produces a good quality image(better than ResizeInterpolateCommandType.Normal). This is Slower than ResizeInterpolateCommandType.Normal but faster than ResizeInterpolateCommandType.Bilinear.

Inheritance Hierarchy

System.Object
   System.ValueType
      System.Enum
         Leadtools.ImageProcessing.Core.ResizeInterpolateCommandType

Requirements

Target Platforms: Microsoft .NET Framework 2.0, Windows 98, Windows NT 4.0, Windows Millennium Edition, Windows 2000, Windows XP Home Edition, Windows XP Professional, Windows Server 2003 family

See Also