TKernelResampler

Graphics32

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TKernelResampler

Hierarchy

TPersistent

   |

TNotifiablePersistent

   |

TCustomSampler

   |

TCustomResampler

   |

TBitmap32Resampler

Description

TKernelResampler is a general class for image resampling using arbitrary convolution filters. It implements a fast method for resizing images, by precomputing kernel weights in mapping tables or coefficient bins.

For single-sample look-ups, the GetSample method supports three different kernel modes:

  • kmDynamic — kernel weights are computed on-the-fly;
  • kmTableNearest — kernel weights are stored in a table, nearest-neighbor is used for the look-up;
  • kmTableLinear — same as above, but uses linear interpolation for the look-up.

For further information, see topic about Sampling and Rasterization.

Reference

Properties Methods Events
In TKernelResampler:
Kernel Create
KernelClassName Destroy
KernelMode FinalizeSampling
TableSize GetSample
PrepareSampling
In TBitmap32Resampler:
Bitmap Changed
PixelAccessMode GetSampleBounds
TransformerClass HasBounds
In TCustomResampler:
Width Resample
In TNotifiablePersistent:
UpdateCount BeginUpdate OnChange
EndUpdate

See Also

Resamplers Example, Sampling and Rasterization

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