 Home
|
|
GR32_Resamplers
GR32_Resamplers.pas provides a comprehensive set of classes that are used within image resampling and rasterization. These classes can roughly be categorized as follows:
- Resamplers — classes that implement different resampling algorithms;
- Kernels — convolution kernels used by TKernelResampler;
- Nested samplers — transformers, super samplers and kernel samplers.
For further information, see topic about Sampling and Rasterization.
Contents
See Also
Sampling and Rasterization, TKernelResampler
Copyright ©2000-2007 Alex Denisov and Contributors - Graphics32 v1.8.3 - Build on 4-March-2007