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HomeJavajavaTutorialHow to Maintain High Image Quality After Downscaling in Java?

How to Maintain High Image Quality After Downscaling in Java?

How to Improve Image Quality After Resizing in Java

Downscaling an image significantly can often result in a noticeable drop in quality. However, by adopting a divide and conquer approach, you can mitigate this issue, ensuring your resized images maintain a higher level of detail.

Divide and Conquer Method:

Instead of scaling the image directly to its final size, break down the process into smaller steps. For example, to resize a 650x748 image to fit within 60x60, start by scaling it down to 325x374 (50% of the original size). Then, scale it down again to 162x187 (50% of the previous size). Finally, scale it to its target size of 60x60, resulting in a much higher quality image than if the resizing was done in one large step.

Example Code:

public static BufferedImage getScaledInstanceToFit(BufferedImage img, Dimension size) {
    float scaleFactor = getScaleFactorToFit(img, size);
    return getScaledInstance(img, scaleFactor);
}

public static float getScaleFactorToFit(BufferedImage img, Dimension size) {
    float scale = 1f;
    if (img != null) {
        int imageWidth = img.getWidth();
        int imageHeight = img.getHeight();
        scale = getScaleFactorToFit(new Dimension(imageWidth, imageHeight), size);
    }
    return scale;
}

public static float getScaleFactorToFit(Dimension original, Dimension toFit) {
    float scale = 1f;
    if (original != null && toFit != null) {
        float dScaleWidth = getScaleFactor(original.width, toFit.width);
        float dScaleHeight = getScaleFactor(original.height, toFit.height);
        scale = Math.min(dScaleHeight, dScaleWidth);
    }
    return scale;
}

Additional Tips:

  • Use anti-aliasing: Anti-aliasing helps reduce jagged edges by blending adjacent pixels.
  • High-quality rendering hints: Set the rendering hints to enable high-quality resizing and interpolation.
  • Choose an appropriate interpolation algorithm: Use a high-quality interpolation algorithm such as bicubic or Lanczos for optimal results.
  • Downscale moderately: Avoid excessive downscaling to preserve detail. Step down the image in smaller increments.

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