boofcv.alg.transform.pyramid.impl

Class ImplPyramidOps

java.lang.Object

boofcv.alg.transform.pyramid.impl.ImplPyramidOps

public class ImplPyramidOps
extends java.lang.Object

Image type specific implementations of functions in PyramidOps.

WARNING: Do not modify. Automatically generated by boofcv.alg.transform.pyramid.impl.GenerateImplPyramidOps.

Constructor Summary

Constructors

Constructor and Description
ImplPyramidOps()

Method Summary

Modifier and Type	Method and Description
static void	scaleDown2(GrayF32 input, GrayF32 output) Scales down the input by a factor of 2.
static void	scaleDown2(GrayU8 input, GrayU8 output) Scales down the input by a factor of 2.
static void	scaleImageUp(GrayF32 input, GrayF32 output, int scale, InterpolatePixelS<GrayF32> interp) Scales an image up using interpolation
static void	scaleImageUp(GrayU8 input, GrayU8 output, int scale, InterpolatePixelS<GrayU8> interp) Scales an image up using interpolation

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

ImplPyramidOps

public ImplPyramidOps()

Method Detail

scaleImageUp

public static void scaleImageUp(GrayF32 input,
                                GrayF32 output,
                                int scale,
                                InterpolatePixelS<GrayF32> interp)

Scales an image up using interpolation

scaleDown2

public static void scaleDown2(GrayF32 input,
                              GrayF32 output)

Scales down the input by a factor of 2. Every other pixel along both axises is skipped.

scaleImageUp

public static void scaleImageUp(GrayU8 input,
                                GrayU8 output,
                                int scale,
                                InterpolatePixelS<GrayU8> interp)

Scales an image up using interpolation

scaleDown2

public static void scaleDown2(GrayU8 input,
                              GrayU8 output)

Scales down the input by a factor of 2. Every other pixel along both axises is skipped.