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    <p>Skipping pixels will result in aliasing, where high frequency changes (such as alternating light/dark bands) will convert to low frequencies (such as constant light or dark).</p> <p>The quickest way to downsize to half without aliasing is to average 2x2 pixels into a single pixel. Better results can be had with more sophisticated reduction kernels, but they will come at the expense of speed.</p> <p><strong>Edit:</strong> Here are some examples of the techniques discussed so far.</p> <p>Skipping every other pixel - you can see that the results aren't very good by looking at the legend on the left side. It's almost unreadable:</p> <p><img src="https://i.stack.imgur.com/7fj2Q.png" alt="Skipping every other pixel"></p> <p>Averaging every 2x2 grid - The text is now sharp and readable:</p> <p><img src="https://i.stack.imgur.com/uNDY1.png" alt="Average 2x2"></p> <p>Gaussian blur, as suggested by <a href="https://stackoverflow.com/questions/6133957/image-downsampling-algorithms/6140688#6140688">R.</a> - a little blurrier, but more readable up to a point. The amount of blur can be adjusted to give different results:</p> <p><img src="https://i.stack.imgur.com/kmkBi.png" alt="enter image description here"></p> <p><a href="https://stackoverflow.com/questions/6133957/image-downsampling-algorithms/6140688#6140688">R.</a> is also correct about the Gamma curve affecting the results, but this should only be visible in the most demanding applications. My examples were done without gamma correction.</p>
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    1. USMark Ransom
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    1. COsweet example. Thanks
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    2. CO+1 love the examples. Note that while both the area-averaging and gaussian are legible, but the font shape is much more correct in the gaussian one.
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