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Java create BufferedImage with float precision

I created a map editor in Java. The problem is, I have steps for every byte value, so the map isn't smooth. Is it possible to change the BufferedImage raster data to float data and draw in float precision on it?

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bitQUAKE Avatar asked Mar 18 '26 11:03

bitQUAKE


1 Answers

To answer your question, yes, you can create a BufferedImage with float precision. It is however a little unclear if this will help you solve your problem.

In any case, here's working example code for creating a BufferedImage with float precision:

public class FloatImage {
    public static void main(String[] args) {
        // Define dimensions and layout of the image
        int w = 300;
        int h = 200;
        int bands = 4; // 4 bands for ARGB, 3 for RGB etc
        int[] bandOffsets = {0, 1, 2, 3}; // length == bands, 0 == R, 1 == G, 2 == B and 3 == A

        // Create a TYPE_FLOAT sample model (specifying how the pixels are stored)
        SampleModel sampleModel = new PixelInterleavedSampleModel(DataBuffer.TYPE_FLOAT, w, h, bands, w  * bands, bandOffsets);
        // ...and data buffer (where the pixels are stored)
        DataBuffer buffer = new DataBufferFloat(w * h * bands);

        // Wrap it in a writable raster
        WritableRaster raster = Raster.createWritableRaster(sampleModel, buffer, null);

        // Create a color model compatible with this sample model/raster (TYPE_FLOAT)
        // Note that the number of bands must equal the number of color components in the 
        // color space (3 for RGB) + 1 extra band if the color model contains alpha 
        ColorSpace colorSpace = ColorSpace.getInstance(ColorSpace.CS_sRGB);
        ColorModel colorModel = new ComponentColorModel(colorSpace, true, false, Transparency.TRANSLUCENT, DataBuffer.TYPE_FLOAT);

        // And finally create an image with this raster
        BufferedImage image = new BufferedImage(colorModel, raster, colorModel.isAlphaPremultiplied(), null);

        System.out.println("image = " + image);
    }
}

For map elevation data, using a single band (bands = 1; bandOffsets = {0};) and a grayscale color space (ColorSpace.CS_GRAY) and no transparency may make more sense.

like image 129
Harald K Avatar answered Mar 20 '26 00:03

Harald K



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