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Represents the algorithm type used in resizing the image.
public enum ResizeInterpolateCommandType
Public Enum ResizeInterpolateCommandType
public enum ResizeInterpolateCommandType
typedef NS_ENUM(NSInteger, LTResizeInterpolateCommandType)
public enum ResizeInterpolateCommandType
Leadtools.ImageProcessing.Core.ResizeInterpolateCommandType = function() { };
Leadtools.ImageProcessing.Core.ResizeInterpolateCommandType.prototype = {<br/>
Normal = 0,
Resample = 2,
Bicubic = 4,
Triangle = 5,
Hermite = 6,
Bell = 7,
QuadraticBSpline = 8,
CubicBSpline = 9,
BoxFilter = 10,
Lanczos = 11,
Michell = 12,
Cosine = 13,
Catrom = 14,
Quadratic = 15,
CubicConvolution = 16,
Bilinear = 17,
Bresenham = 18,
};
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. |
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