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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 ©2000-2010 Alex Denisov and the Graphics32 Team   -   Graphics32 v1.9.0 (r1336)   -   Build on 9-March-2010