Examples of javax.media.jai.InterpolationBilinear

javax.media.jai.InterpolationBilinear
A class representing bilinear interpolation. The class is marked 'final' so it may be either automatically or manually inlined.
Bilinear interpolation requires a neighborhood extending one pixel to the right and below the central sample. If the fractional subsample position is given by (xfrac, yfrac), the resampled pixel value will be:
```
 (1 - yfrac) * [(1 - xfrac)*s00 + xfrac*s01] +  yfrac * [(1 - xfrac)*s10 + xfrac*s11] 
```
A neighborhood extending one sample to the right of, and one sample below the central sample is required to perform bilinear interpolation. This implementation maintains equal subsampleBits in x and y.
The diagrams below illustrate the pixels involved in one-dimensional bilinear interpolation. Point s0 is the interpolation kernel key position. xfrac and yfrac, indicated by the dots, represent the point of interpolation between two pixels. This value lies between 0.0 and 1.0 exclusive for floating point and 0 and 2^{subsampleBits} exclusive for integer interpolations.
```
  Horizontal              Vertical s0 .  s1                  s0                              ^                       .< yfrac                       xfrac                   s1                          
```
The diagram below illustrates the pixels involved in two-dimensional bilinear interpolation.
```
  s00    s01                                      .      < yfrac                       s10    s11                                      ^                                            xfrac                                          
```
The class is marked 'final' so that it may be more easily inlined.

            ReferencedEnvelope.reference(envelope), 
            new Rectangle(0,0,50,50), 
            gtoem.createAffineTransform().createInverse());
    
    // bilinear
    RenderedImage image = renderer.renderImage(gc, rs, new InterpolationBilinear(), null, 256, 256);
    assertNotNull(image);
    assertNotNull(PlanarImage.wrapRenderedImage(image));
    assertTrue(image.getColorModel() instanceof IndexColorModel);
    
    // nearest

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    // resample this coverage
    final ParameterValueGroup pvg= resampleFactory.getParameters();
    pvg.parameter("Source").setValue(gc);
    pvg.parameter("GridGeometry").setValue(newGridGeometry);
    pvg.parameter("InterpolationType").setValue(new InterpolationBilinear());
    return (GridCoverage2D) resampleFactory.doOperation(pvg, hints);


  }

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            break;
          case Filtered:
            newImage = Utils.filteredSubsample(currentImage,baseTC,downsampleStep,lowPassFilter);
            break;
          case Bilinear:
            newImage = Utils.subsample(currentImage,baseTC,new InterpolationBilinear(),downsampleStep,borderExtender);
            break;  
          case Bicubic:
            newImage = Utils.subsample(currentImage,baseTC,new InterpolationBicubic(2),downsampleStep,borderExtender);
            break;
          case Nearest:

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        // Reader disposal
        reader.dispose();


        // Definition of the interpolation type
        nearest = new InterpolationNearest();
        bilinear = new InterpolationBilinear();
        bicubic = new InterpolationBicubic(8);


        // Definition of the background values
        nodata = new double[] { 0 };

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    public void testCoverageWithBilinearInterp() throws MismatchedDimensionException,
            TransformException {
        // Execution of the RasterAsPointCollectionProcess setting hemisphere, scaleFactor and bilinear interpolation
        boolean hemisphere = true;
        float scaleFactor = 2.0f;
        Interpolation interp = new InterpolationBilinear();
        SimpleFeatureCollection collection = process.execute(coverage, null, scaleFactor, interp,
                hemisphere);
        // Check if the points are exactly as the number of pixel number
        Assert.assertEquals((int) (pixelNumber * scaleFactor * scaleFactor), collection.size());
        // Check if each Point Attribute contains the same values of the Input coverage

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