boofcv.alg.transform.wavelet

Class WaveletTransformOps

java.lang.Object

boofcv.alg.transform.wavelet.WaveletTransformOps

public class WaveletTransformOps
extends java.lang.Object

Functional interface for applying general purpose wavelet and inverse wavelet transforms.

A single level wavelet transform breaks the image up into four regions:

a	h
v	d

Each region has M/2,N/2 rows and columns. Region 'a' is the scaling image, 'h' and 'v' are a combination of scaling and wavelet, and 'd' is a combination of horizontal and vertical wavelets. When a multiple level transform is performed then the input to the next level is the 'a' from the previous level.

DO NOT MODIFY: This class was automatically generated by boofcv.alg.transform.wavelet.GenerateWaveletTransformOps

Constructor Summary

Constructors

Constructor and Description
WaveletTransformOps()

Method Summary

Modifier and Type	Method and Description
static void	inverse1(WaveletDescription<WlCoef_F32> desc, GrayF32 input, GrayF32 output, GrayF32 storage, float minValue, float maxValue) Performs a single level inverse wavelet transform.
static void	inverse1(WaveletDescription<WlCoef_I32> desc, GrayS32 input, GrayS32 output, GrayS32 storage, int minValue, int maxValue) Performs a single level inverse wavelet transform.
static void	inverseN(WaveletDescription<WlCoef_F32> desc, GrayF32 input, GrayF32 output, GrayF32 storage, int numLevels, float minValue, float maxValue) Performs a level N inverse fast wavelet transform (FWT).
static void	inverseN(WaveletDescription<WlCoef_I32> desc, GrayS32 input, GrayS32 output, GrayS32 storage, int numLevels, int minValue, int maxValue) Performs a level N inverse fast wavelet transform (FWT).
static void	transform1(WaveletDescription<WlCoef_F32> desc, GrayF32 input, GrayF32 output, GrayF32 storage) Performs a single level wavelet transform.
static void	transform1(WaveletDescription<WlCoef_I32> desc, GrayS32 input, GrayS32 output, GrayS32 storage) Performs a single level wavelet transform.
static void	transformN(WaveletDescription<WlCoef_F32> desc, GrayF32 input, GrayF32 output, GrayF32 storage, int numLevels) Performs a level N wavelet transform using the fast wavelet transform (FWT).
static void	transformN(WaveletDescription<WlCoef_I32> desc, GrayS32 input, GrayS32 output, GrayS32 storage, int numLevels) Performs a level N wavelet transform using the fast wavelet transform (FWT).

Methods inherited from class java.lang.Object

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

Constructor Detail

WaveletTransformOps

public WaveletTransformOps()

Method Detail

transform1

public static void transform1(WaveletDescription<WlCoef_F32> desc,
                              GrayF32 input,
                              GrayF32 output,
                              GrayF32 storage)

Performs a single level wavelet transform.

Parameters:

desc - Description of the wavelet.

input - Input image. Not modified.

output - Where the wavelet transform is written to. Modified.

storage - Optional storage image. Should be the same size as output image. If null then an image is declared internally.

transformN

public static void transformN(WaveletDescription<WlCoef_F32> desc,
                              GrayF32 input,
                              GrayF32 output,
                              GrayF32 storage,
                              int numLevels)

Performs a level N wavelet transform using the fast wavelet transform (FWT).

To save memory the input image is used to store intermediate results and is modified.

Parameters:

desc - Description of the wavelet.

input - Input image and is used as internal workspace. Modified.

output - Where the multilevel wavelet transform is written to. Modified.

storage - Optional storage image. Should be the same size as output image. If null then an image is declared internally.

numLevels - Number of levels which should be computed in the transform.

inverse1

public static void inverse1(WaveletDescription<WlCoef_F32> desc,
                            GrayF32 input,
                            GrayF32 output,
                            GrayF32 storage,
                            float minValue,
                            float maxValue)

Performs a single level inverse wavelet transform. Do not pass in a whole image which has been transformed by a multilevel transform. Just the relevant sub-image.

Parameters:

desc - Description of the inverse wavelet.

input - Input wavelet transform. Not modified.

output - Reconstruction of original image. Modified.

storage - Optional storage image. Should be the same size as the input image. If null then an image is declared internally.

minValue - Minimum allowed pixel value

maxValue - Maximum allowed pixel value

inverseN

public static void inverseN(WaveletDescription<WlCoef_F32> desc,
                            GrayF32 input,
                            GrayF32 output,
                            GrayF32 storage,
                            int numLevels,
                            float minValue,
                            float maxValue)

Performs a level N inverse fast wavelet transform (FWT).

To save memory the input image is used to store intermediate results and is modified.

Parameters:

desc - Description of the inverse wavelet.

input - Input wavelet transform and is used as internal workspace. Modified.

output - Reconstruction of original image. Modified.

storage - Optional storage image. Should be the same size as the input image. If null then an image is declared internally.

numLevels - Number of levels in the transform.

minValue - Minimum allowed pixel value

maxValue - Maximum allowed pixel value

transform1

public static void transform1(WaveletDescription<WlCoef_I32> desc,
                              GrayS32 input,
                              GrayS32 output,
                              GrayS32 storage)

Performs a single level wavelet transform.

Parameters:

desc - Description of the wavelet.

input - Input image. Not modified.

output - Where the wavelet transform is written to. Modified.

storage - Optional storage image. Should be the same size as output image. If null then an image is declared internally.

transformN

public static void transformN(WaveletDescription<WlCoef_I32> desc,
                              GrayS32 input,
                              GrayS32 output,
                              GrayS32 storage,
                              int numLevels)

Performs a level N wavelet transform using the fast wavelet transform (FWT).

To save memory the input image is used to store intermediate results and is modified.

Parameters:

desc - Description of the wavelet.

input - Input image and is used as internal workspace. Modified.

output - Where the multilevel wavelet transform is written to. Modified.

storage - Optional storage image. Should be the same size as output image. If null then an image is declared internally.

numLevels - Number of levels which should be computed in the transform.

inverse1

public static void inverse1(WaveletDescription<WlCoef_I32> desc,
                            GrayS32 input,
                            GrayS32 output,
                            GrayS32 storage,
                            int minValue,
                            int maxValue)

Performs a single level inverse wavelet transform. Do not pass in a whole image which has been transformed by a multilevel transform. Just the relevant sub-image.

Parameters:

desc - Description of the inverse wavelet.

input - Input wavelet transform. Not modified.

output - Reconstruction of original image. Modified.

storage - Optional storage image. Should be the same size as the input image. If null then an image is declared internally.

minValue - Minimum allowed pixel value

maxValue - Maximum allowed pixel value

inverseN

public static void inverseN(WaveletDescription<WlCoef_I32> desc,
                            GrayS32 input,
                            GrayS32 output,
                            GrayS32 storage,
                            int numLevels,
                            int minValue,
                            int maxValue)

Performs a level N inverse fast wavelet transform (FWT).

To save memory the input image is used to store intermediate results and is modified.

Parameters:

desc - Description of the inverse wavelet.

input - Input wavelet transform and is used as internal workspace. Modified.

output - Reconstruction of original image. Modified.

storage - Optional storage image. Should be the same size as the input image. If null then an image is declared internally.

numLevels - Number of levels in the transform.

minValue - Minimum allowed pixel value

maxValue - Maximum allowed pixel value