Class Interpolation

Object
Interpolation

public abstract class Interpolation extends Object
Algorithm for image interpolation (resampling). Interpolations are performed by sampling on a regular grid of pixels using a local neighborhood. The sampling is performed by the Resampled­Image class, which gives the sample values to the interpolate(…) method of this interpolation.

All methods in this class shall be safe for concurrent use in multi-threading context. For example interpolations may be executed in a different thread for each tile in an image.

This class is designed for interpolations in a two-dimensional space only.

Since:
1.1

Defined in the sis-feature module

  • Field Details

    • NEAREST

      public static final Interpolation NEAREST
      A nearest-neighbor interpolation using 1×1 pixel.
    • BILINEAR

      public static final Interpolation BILINEAR
      A bilinear interpolation using 2×2 pixels. If the interpolation result is NaN, this method fallbacks on nearest-neighbor.
    • LANCZOS

      public static final Interpolation LANCZOS
      Lanczos interpolation for photographic images. This interpolation is not recommended for images that may contain NaN values.
      See Also:
  • Constructor Details

    • Interpolation

      protected Interpolation()
      Creates a new interpolation.
  • Method Details

    • getSupportSize

      public abstract Dimension getSupportSize()
      Returns the size of the area over which the resampling function needs to provide values. Common values are:
      Common support sizes
      Interpolation Width Height
      Nearest-neighbor 1 1
      Bilinear 2 2
      Bicubic 4 4
      Lanczos 4 4
      Returns:
      number of sample values required for interpolations.
    • interpolate

      public abstract void interpolate(DoubleBuffer source, int numBands, double xfrac, double yfrac, double[] writeTo, int writeToOffset)
      Interpolates sample values for all bands using the given pixel values in local neighborhood. The given source is a buffer with the number of elements shown below, where support width and support height are given by get­Support­Size():
      (number of bands) × (support width) × (support height)
      Values in source buffer are always given with band index varying fastest, then column index, then row index. Columns are traversed from left to right and rows are traversed from top to bottom (Sequence­Type​.LINEAR iteration order).

      The interpolation point is in the middle. For example if the support size is 4×4 pixels, then the interpolation point is the dot below and the fractional coordinates are relative to the horizontal and vertical lines drawn below. This figure is for an image with only one band, otherwise all indices between brackets would need to be multiplied by num­Bands.

      s[0]   s[1]   s[2]   s[3]
      
      s[4]   s[5]───s[6]   s[7]  ← yfrac = 0
              │   ●              ← yfrac given
      s[8]   s[9]   s[10]  s[11] ← yfrac = 1
      
      s[12]  s[13]  s[14]  s[15]
                  ↑
                xfrac
      On output, this method shall write the interpolation results as num­Bands consecutive values in the supplied write­To array, starting at write­To­Offset index. This method should not modify the buffer position (use Double­Buffer​.mark() and reset() if needed).
      Parameters:
      source - pixel values from the source image to use for interpolation.
      num­Bands - number of bands. This is the number of values to put in the write­To array.
      xfrac - the X subsample position, usually (but not always) in the range [0 … 1).
      yfrac - the Y subsample position, usually (but not always) in the range [0 … 1).
      write­To - the array where this method shall write interpolated values.
      write­To­Offset - index of the first value to put in the write­To array.