Question
Define the following with suitable examples
i) Unsharp marking
ii) High boost filtering
iii) High frequency filterin
Answer :
Word Count : 379
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Unsharp masking is a spatial domain image enhancement technique used to sharpen an image by emphasizing fine details and edges. The basic idea is to subtract a blurred (unsharp) version of the image from the original image to extract high-frequency components, and then add this detail back to the original. Mathematically, if the original image is denoted by f(x, y) and a blurred version obtained using a low-pass filter is f̄(x, y), the unsharp mask is given by f(x, y) − f̄(x, y). The sharpened image g(x, y) is obtained as g(x, y) = f(x, y) + [f(x, y) − f̄(x, y)]. For example, if an image is blurred using a 3×3 averaging filter and this blurred image is subtracted from the original, the resulting mask highlights edges such as object boundaries. Adding this mask back
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