DomainTransform - DomainTransform¶

Domain Transform application for wavelet and fourier

Detailed description¶

Domain Transform application for wavelet and fourier

Parameters¶

This section describes in details the parameters available for this application. Table [1] presents a summary of these parameters and the parameters keys to be used in command-line and programming languages. Application key is DomainTransform .

[1]	Table: Parameters table for DomainTransform.

Parameter Key	Parameter Name	Parameter Type
in	Input Image	Input image
out	Output Image	Output image
mode	Mode	Choices
mode fft	FFT transform	Choice
mode wavelet	Wavelet	Choice
mode.fft.shift	Shift fft transform	Boolean
mode.wavelet.form	Select wavelet form	Choices
mode.wavelet.form haar	HAAR	Choice
mode.wavelet.form db4	DAUBECHIES4	Choice
mode.wavelet.form db6	DAUBECHIES6	Choice
mode.wavelet.form db8	DAUBECHIES8	Choice
mode.wavelet.form db12	DAUBECHIES12	Choice
mode.wavelet.form db20	DAUBECHIES20	Choice
mode.wavelet.form sb24	SPLINE_BIORTHOGONAL_2_4	Choice
mode.wavelet.form sb44	SPLINE_BIORTHOGONAL_4_4	Choice
mode.wavelet.form sym8	SYMLET8	Choice
mode.wavelet.nlevels	Number of decomposition levels	Int
direction	Direction	Choices
direction forward	Forward	Choice
direction inverse	Inverse	Choice
ram	Available RAM (Mb)	Int
inxml	Load otb application from xml file	XML input parameters file
outxml	Save otb application to xml file	XML output parameters file

Input Image: This will take an input image to be transformed image. For FFT inverse transform, it expects a complex image as two-band image in which first band represent real part and second band represent imaginary part.

Output Image: This parameter holds the output file name to which transformed image will be written. This has a slightly different behaviour depending on transform type. For Wavelet, output is a single band image for both forward and inverse transform. For FFT forward transform, output is two band image where first band represents real part and second band represents imaginary part of a complex image.

Mode: This parameter allows one to select between fft(fourier) and wavelet. Available choices are:

FFT transform: FFT transform.

Shift fft transform: Shift transform of fft filter.

Wavelet: Wavelet transform.

Select wavelet form Available choices are:

HAAR

DAUBECHIES4

DAUBECHIES6

DAUBECHIES8

DAUBECHIES12

DAUBECHIES20

SPLINE_BIORTHOGONAL_2_4

SPLINE_BIORTHOGONAL_4_4

SYMLET8

Number of decomposition levels: Number of decomposition levels.

Direction Available choices are:

Forward
Inverse

Available RAM (Mb): Available memory for processing (in MB).

Load otb application from xml file: Load otb application from xml file.

Save otb application to xml file: Save otb application to xml file.

Example¶

To run this example in command-line, use the following:

otbcli_DomainTransform -in input.tif -mode.wavelet.form haar -out output_wavelet_haar.tif

To run this example from Python, use the following code snippet:

#!/usr/bin/python

# Import the otb applications package
import otbApplication

# The following line creates an instance of the DomainTransform application
DomainTransform = otbApplication.Registry.CreateApplication("DomainTransform")

# The following lines set all the application parameters:
DomainTransform.SetParameterString("in", "input.tif")

DomainTransform.SetParameterString("mode.wavelet.form","haar")

DomainTransform.SetParameterString("out", "output_wavelet_haar.tif")

# The following line execute the application
DomainTransform.ExecuteAndWriteOutput()

Limitations¶

This application is not streamed, check your system resources when processing large images

Authors¶

This application has been written by OTB-Team.