Class WaveletTransformOps

java.lang.Object
boofcv.alg.transform.wavelet.WaveletTransformOps

public class WaveletTransformOps
extends Object

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

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

ah
vd
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 Details

    • WaveletTransformOps

      public WaveletTransformOps()
  • Method Details

    • 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