DomainTransform¶
Domain Transform application for wavelet and fourier
Description¶
Domain Transform application for wavelet and fourier.
Parameters¶
Input Image -in image Mandatory
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 -out image [dtype] Mandatory
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 -mode [fft|wavelet] Default value: wavelet
This parameter allows one to select between fft(fourier) and wavelet
- FFT transform
FFT transform - Wavelet
Wavelet transform
FFT transform options¶
Shift fft transform -mode.fft.shift bool Default value: false
Shift transform of fft filter
Wavelet options¶
Select wavelet form -mode.wavelet.form [haar|db4|db6|db8|db12|db20|sb24|sb44|sym8] Default value: haar
- HAAR
- DAUBECHIES4
- DAUBECHIES6
- DAUBECHIES8
- DAUBECHIES12
- DAUBECHIES20
- SPLINE_BIORTHOGONAL_2_4
- SPLINE_BIORTHOGONAL_4_4
- SYMLET8
Number of decomposition levels -mode.wavelet.nlevels int Default value: 2
Number of decomposition levels
Direction -direction [forward|inverse] Default value: forward
- Forward
- Inverse
Available RAM (MB) -ram int Default value: 256
Available memory for processing (in MB).
Examples¶
From the command-line:
otbcli_DomainTransform -in input.tif -mode.wavelet.form haar -out output_wavelet_haar.tif
From 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