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

TKernelResampler

Hierarchy

Description

Reference

See Also