) Propose a gray level slicing algorithm capable of producing the 4-bit plane of an 8-bit monochrome image.
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Explain the Hough transform for edge linking with suitable example.
In image restoration, how are the noise parameters estimated?
b) Assume that the noise is estimated as exponential, with mean Variance
. How will you estimate the parameter 'a' of pdf of exponential Noise?
Describe the homographic filtering. Explain why the filtering scheme is effective for the applications it is used.
Define the following with suitable examples
i) Unsharp marking
ii) High boost filtering
iii) High frequency filterin
Given that
where f and g are real images and h is a spatial filter.
Obtain G(u,v), in terms of F(u,v), and H(u,v), the 2–D Fourier transform of g(x,y).
) Given an image f(x,y) with Fourier transform F(u,v) obtain the fourier transform of .
c) Given that the 2-D Fourier Tranform is real and even, obtain the constraints on the image characteristics.
Explain the functioning of an adaptive, local noise reduction filter.