ResizeInterpolateCommandType Enumeration

Summary

Represents the algorithm type used in resizing the image.

Syntax

Objective-C

C++

Java

public enum ResizeInterpolateCommandType

Public Enum ResizeInterpolateCommandType

typedef NS_ENUM(NSInteger, LTResizeInterpolateCommandType)

public enum ResizeInterpolateCommandType

public enum class ResizeInterpolateCommandType

Members

Value	Member	Description
0	Normal	This is the fastest one. Not recommended at all, because aliasing is present everywhere.
2	Resample	Use linear interpolation and averaging to produce a higher-quality image.
4	Bicubic	Bicubic interpolation and averaging produces a high quality image. This is slower than ResizeInterpolateCommandType.Bilinear.
5	Triangle	Triangular-peaked weighting average produces a high quality image.
6	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.
7	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.
8	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.
9	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.
10	BoxFilter	Equivalent to Nearest Neighbor on upsampling, averages pixels on downsampling, gives best result for images with single pixels lines.
11	Lanczos	Lanczos interpolation that uses Sinc (sinx/x) to produce a high quality image. Provides the best quality but it's rather slow.
12	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.
13	Cosine	Uses the Cosine function in the interpolation to produce a good quality image.
14	Catrom	CatmullRom interpolation produces a high quality image. Slower than ResizeInterpolateCommandType.Bicubic, but faster than ResizeInterpolateCommandType.Lanczos.
15	Quadratic	Quadratic interpolation produces a high quality image, but less than ResizeInterpolateCommandType.Bilinear. Slower than ResizeInterpolateCommandType.Bicubic.
16	CubicConvolution	Interpolation to produce high quality image (enhances the image edges). Slower than ResizeInterpolateCommandType.Bicubic.
17	Bilinear	Bilinear interpolation and averaging produces a high-quality image. It is fast but slower than ResizeInterpolateCommandType.Normal and ResizeInterpolateCommandType.Bresenham.
18	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.

Requirements

Target Platforms

Reference

Leadtools.ImageProcessing.Core Namespace

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Leadtools.ImageProcessing.Core Assembly

Introduction

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Namespaces

Leadtools.ImageProcessing.Core Namespace

Assemblies