.. _DomainTransform: 

DomainTransform
===============





Domain Transform application for wavelet and fourier

Description
-----------

Domain Transform application for wavelet and fourier.



Parameters
----------

.. contents:: :local:

.. |br| raw:: html

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.. |em| raw:: html

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**Input Image** :code:`-in image` *Mandatory* |br|
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 the first band represents the real part and second band represents the imaginary part.

**Output Image** :code:`-out image [dtype]` *Mandatory* |br|
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** :code:`-mode [fft|wavelet]` *Default value: wavelet* |br|
This parameter allows one to select between fft(fourier) and wavelet

* **FFT transform** |br| FFT transform

* **Wavelet** |br| Wavelet transform



FFT transform options
^^^^^^^^^^^^^^^^^^^^^

**Shift fft transform** :code:`-mode.fft.shift bool` *Default value: false* |br|
Shift transform of fft filter

Wavelet options
^^^^^^^^^^^^^^^

**Select wavelet form** :code:`-mode.wavelet.form [haar|db4|db6|db8|db12|db20|sb24|sb44|sym8]` *Default value: haar* |br|


* **HAAR** |br| 

* **DAUBECHIES4** |br| 

* **DAUBECHIES6** |br| 

* **DAUBECHIES8** |br| 

* **DAUBECHIES12** |br| 

* **DAUBECHIES20** |br| 

* **SPLINE_BIORTHOGONAL_2_4** |br| 

* **SPLINE_BIORTHOGONAL_4_4** |br| 

* **SYMLET8** |br| 



**Number of decomposition levels** :code:`-mode.wavelet.nlevels int` *Default value: 2* |br|
Number of decomposition levels



------------

**Direction** :code:`-direction [forward|inverse]` *Default value: forward* |br|


* **Forward** |br| 

* **Inverse** |br| 



**Available RAM (MB)** :code:`-ram int` *Default value: 256* |br|
Available memory for processing (in MB).



Examples
--------

From the command-line:

.. code-block:: bash

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


From Python:

.. code-block:: python

	import otbApplication

	app = otbApplication.Registry.CreateApplication("DomainTransform")

	app.SetParameterString("in", "input.tif")
	app.SetParameterString("mode.wavelet.form","haar")
	app.SetParameterString("out", "output_wavelet_haar.tif")

	app.ExecuteAndWriteOutput()



Limitations
-----------

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

See also
--------

| otbWaveletImageFilter, otbWaveletInverseImageFilter, otbWaveletTransform