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<strong>Goal:</strong> Implement unsharp masking. Explain how it relates to blur filters and high-frequency components. Show blurred, high-frequency, and sharpened versions of the Taj Mahal image and another image of your choice. Demonstrate varying the sharpening amount.
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Using convolution, we can also sharpen a blurry image with similar technique. Recall that a Gaussian filter removes the highest frequencies in a signal. This means that subtracting the filtered image from the original would leave all of the highest frequencies from the base image. We can then add this difference to the original to highlight the highest frequencies of the image, then clip it to [0, 255] to preserve brightness. Using the following Taj Mahal image:
In general, we can change the sharpening amount my multiplying the high-pass filtered image by a constant. Below is a demonstration of various sharpening amounts from 0.25 to 4:
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