Grid Based Image Resampling

Brief Description

Resamples an image according to a resampling grid

Tags

Geometry

Long Description

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

Parameters

• Input and output data (io): This group of parameters allows setting the input and output images.

  • Input image (io.in): The input image to resample

  • Output Image (io.out): The resampled output image




• Resampling grid parameters (grid):

  • Input resampling grid (grid.in): The resampling grid

  • Grid Type (grid.type): allows one to choose between two grid types

    • Displacement grid: $G(x_out,y_out) = (x_in-x_out, y_in-y_out)$ (def): 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: $G(x_out,y_out) = (x_in, y_in)$ (loc): A localisation grid contains at each grid position the corresponding position in the input image to resample



• Output Image parameters (out): Parameters of the output image

  • Upper Left X (out.ulx): X Coordinate of the upper-left pixel of the output resampled image

  • Upper Left Y (out.uly): Y Coordinate of the upper-left pixel of the output resampled image

  • Size X (out.sizex): Size of the output resampled image along X (in pixels)

  • Size Y (out.sizey): Size of the output resampled image along Y (in pixels)

  • Pixel Size X (out.spacingx): Size of each pixel along X axis

  • Pixel Size Y (out.spacingy): Size of each pixel along Y axis

  • Default value (out.default): The default value to give to pixel that falls outside of the input image.




• Interpolation (interpolator): This group of parameters allows one to define how the input image will be interpolated during resampling.

  • Nearest Neighbor interpolation (nn): Nearest neighbor interpolation leads to poor image quality, but it is very fast.

  • Linear interpolation (linear): Linear interpolation leads to average image quality but is quite fast

  • Bicubic interpolation (bco):

    • Radius for bicubic interpolation (interpolator.bco.radius): 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) (ram): Available memory for processing (in MB)

• Load otb application from xml file (inxml): Load otb application from xml file

• Save otb application to xml file (outxml): Save otb application to xml file

Limitations

None

Authors

OTB-Team

See also

otbStereorecificationGridGeneration

Example of use

• Values for GUIs:

• io.in: ROI_IKO_PAN_LesHalles_sub.tif

• io.out: ROI_IKO_PAN_LesHalles_sub_resampled.tif uint8

• grid.in: ROI_IKO_PAN_LesHalles_sub_deformation_field.tif

• out.sizex: 256

• out.sizey: 256

• grid.type: def

• Command line to execute:

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