kPointSampling: This filtering method is the default technique for interpolation. It is the fastest technique for interpolation because it samples the nearest pixel to a given point and uses no filtering. This method is useful for enlarged views of images.
kBoxFilter: This filtering method is the default technique for decimation. This technique results in point sampling when used for interpolation and uniform area averaging when used for decimation.
kTriangleFilter: This filtering method is also known as a tent filter. It uses trilinear interpolation when used for interpolation, and a cone shaped filter kernel when used for decimation. This method is very good for geometric operations that skew the image or that place a pixel at a subpixel position.
kCubicFilter: This filtering method offers quality improvements over kTriangleFilter but requires more drawing time. This method will result in a blurrier rendered image than the Sinc filters described below.
kSinc2Filter: This filtering method offers quality improvements over kBoxFilter but requires more drawing time. This method will result in a sharper rendered image than the kCubicFilter method described above, and requires less overhead than kSinc3Filter described below.
kSinc3Filter: This filtering method offers quality improvements over kCubicFilter but requires more drawing time. This method will result in a sharper rendered image than the kCubicFilter method and requires more overhead than kSinc2Filter described above.
kCustomFilter: This filtering method lets you create a customized filter. You must derive from TSamplingImageControl and override the appropriate functions as noted in the header file.
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