Example Interpolation

From BoofCV

BoofCV provides abstract interfaces to apply different interpolation methods to all of its images. Bilinear is by far the most widely used interpolation method in computer vision.

Example Code:


  • Interpolation
  • Image Distortion

Example Code

 * Interpolation is used to convert an image, which is discrete by its nature, into a (piecewise) smooth function.
 * Interpolation is in many CV applications, such as feature detection, and when distorting images.  In this
 * example a low resolution is scaled up using several different techniques to make the differences easily visible.
 * For computer vision applications bilinear interpolation is almost always used.
 * @author Peter Abeles
public class ExampleInterpolation {

	public static void main(String[] args) {
		String imagePath;
		imagePath = "eye01.jpg";
//		imagePath = "small_sunflower.jpg";

		BufferedImage buffered = UtilImageIO.loadImage(UtilIO.pathExample(imagePath));
		ListDisplayPanel gui = new ListDisplayPanel();


		// For sake of simplicity assume it's a gray scale image.  Interpolation functions exist for planar and
		// interleaved color images too
		GrayF32 input  = ConvertBufferedImage.convertFrom(buffered, (GrayF32)null);
		GrayF32 scaled = input.createNew(500,500*input.height/input.width);

		for( InterpolationType type : InterpolationType.values() ) {
			// Create the single band (gray scale) interpolation function for the input image
			InterpolatePixelS<GrayF32> interp = FactoryInterpolation.

			// Tell it which image is being interpolated

			// Manually apply scaling to the input image.  See FDistort() for a built in function which does
			// the same thing and is slightly more efficient
			for (int y = 0; y < scaled.height; y++) {
				// iterate using the 1D index for added performance.  Altertively there is the set(x,y) operator
				int indexScaled = scaled.startIndex + y*scaled.stride;
				float origY = y*input.height/(float)scaled.height;

				for (int x = 0; x < scaled.width; x++) {
					float origX = x*input.width/(float)scaled.width;

					scaled.data[indexScaled++] = interp.get(origX,origY);

			// Add the results to the output
			BufferedImage out = ConvertBufferedImage.convertTo(scaled,null,true);

		ShowImages.showWindow(gui,"Example Interpolation", true);