GridBasedImageResampling - Grid Based Image Resampling

Resamples an image according to a resampling grid

Detailed description

This application allows performing image resampling from an input resampling grid.


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 GridBasedImageResampling .

[1]Table: Parameters table for Grid Based Image Resampling.
Parameter Key Parameter Name Parameter Type
io Input and output data Group Input image Input image
io.out Output Image Output image
grid Resampling grid parameters Group Input resampling grid Input image
grid.type Grid Type Choices
grid.type def Choice Displacement grid: $G(x_out,y_out) = (x_in-x_out, y_in-y_out)$
grid.type loc Choice Localisation grid: $G(x_out,y_out) = (x_in, y_in)$
out Output Image parameters Group
out.ulx Upper Left X Float
out.uly Upper Left Y Float
out.sizex Size X Int
out.sizey Size Y Int
out.spacingx Pixel Size X Float
out.spacingy Pixel Size Y Float
out.default Default value Float
interpolator Interpolation Choices
interpolator nn Choice Nearest Neighbor interpolation
interpolator linear Choice Linear interpolation
interpolator bco Choice Bicubic interpolation
interpolator.bco.radius Radius for bicubic interpolation Int
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 and output data]: This group of parameters allows setting the input and output images.

  • Input image: The input image to resample.
  • Output Image: The resampled output image.

[Resampling grid parameters]

  • Input resampling grid: The resampling grid.
  • Grid Type: allows one to choose between two grid types. Available choices are:
  • Displacement grid: $G(x_out,y_out) = (x_in-x_out, y_in-y_out)$: A deformation grid contains at each grid position the offset to apply to this position in order to get to the corresponding point in the input image to resample.
  • Localisation grid: $G(x_out,y_out) = (x_in, y_in)$: A localisation grid contains at each grid position the corresponding position in the input image to resample.

[Output Image parameters]: Parameters of the output image.

  • Upper Left X: X Coordinate of the upper-left pixel of the output resampled image.
  • Upper Left Y: Y Coordinate of the upper-left pixel of the output resampled image.
  • Size X: Size of the output resampled image along X (in pixels).
  • Size Y: Size of the output resampled image along Y (in pixels).
  • Pixel Size X: Size of each pixel along X axis.
  • Pixel Size Y: Size of each pixel along Y axis.
  • Default value: The default value to give to pixel that falls outside of the input image.

Interpolation: This group of parameters allows one to define how the input image will be interpolated during resampling. Available choices are:

  • Nearest Neighbor interpolation: Nearest neighbor interpolation leads to poor image quality, but it is very fast.
  • Linear interpolation: Linear interpolation leads to average image quality but is quite fast.
  • Bicubic interpolation
  • Radius for bicubic interpolation: This parameter allows controlling the size of the bicubic interpolation filter. If the target pixel size is higher than the input pixel size, increasing this parameter will reduce aliasing artifacts.

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.


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

otbcli_GridBasedImageResampling ROI_IKO_PAN_LesHalles_sub.tif -io.out ROI_IKO_PAN_LesHalles_sub_resampled.tif uint8 ROI_IKO_PAN_LesHalles_sub_deformation_field.tif -out.sizex 256 -out.sizey 256 -grid.type def

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


# Import the otb applications package
import otbApplication

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

# The following lines set all the application parameters:
GridBasedImageResampling.SetParameterString("", "ROI_IKO_PAN_LesHalles_sub.tif")

GridBasedImageResampling.SetParameterString("io.out", "ROI_IKO_PAN_LesHalles_sub_resampled.tif")
GridBasedImageResampling.SetParameterOutputImagePixelType("io.out", 1)

GridBasedImageResampling.SetParameterString("", "ROI_IKO_PAN_LesHalles_sub_deformation_field.tif")

GridBasedImageResampling.SetParameterInt("out.sizex", 256)

GridBasedImageResampling.SetParameterInt("out.sizey", 256)


# The following line execute the application




This application has been written by OTB-Team.

See Also

These additional resources can be useful for further information: