Subtracting Laplacian from an image is proportional to which of the following?(a) Unsharp masking(b) Box filter(c) Median filter(d) None of the mentionedThis question was addressed to me in my homework.My question is taken from Use of First Order Derivative for Enhancement topic in section Image Enhancement of Digital Image Processing

Subtracting Laplacian from an image is proportional to which of the fo

1.	Subtracting Laplacian from an image is proportional to which of the following?(a) Unsharp masking(b) Box filter(c) Median filter(d) None of the mentionedThis question was addressed to me in my homework.My question is taken from Use of First Order Derivative for Enhancement topic in section Image Enhancement of Digital Image Processing
Answer» RIGHT option is (a) Unsharp masking For explanation I would SAY: subtracting Laplacian from an image GIVES: F(x,y)- ∇^2 f(x,y) = f(x, y) – [f(x + 1, y) + f(x – 1, y) + f(x, y + 1) + f(x, y – 1) – 4f(x, y)] That on calculation gives 5[1.2 f(x, y) – f ̅(x, y)] ≈ 5[f(x, y) – f(x, y)] Where f(x, y) – f(x, y) is the unsharp masking definition.

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