TKernelResampler

Hierarchy

TPersistent

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

Fields	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

TKernelResampler

Hierarchy

Description

Reference

See Also