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Differentiate between constrained and unconstrained restoration.

Explain the image degradation and restoration model.

With appropriate equations, explain the issue with inverse filtering for restoring
the image. How Wiener filtering eliminates the issue?

Explain the smoothing of images in frequency domain using (i) ideal low pass
filters and (ii) Butterworth low pass filters.

Explain the terms unsharp masking and high-boost filtering.

How the separation of illumination and reflectance components is achieved in
homomorphic filtering?

PART ட
Answer any two full questions, each carries 20 marks
Explain the Region splitting and merging approach for image segmentation.

Differentiate between local, global and adaptive thresholding.

How Hough transform is helpful in edge linking?

What are the basic data redundancies exploited in image compression? Explain.
Compare the transforms DCT and KLT as a choice for image compression
application.

Explain the concept of Arithmetic coding.

Explain any one clustering algorithm for image segmentation.

Perform Huffman coding for the following set of symbols.

Symbol Probability
A 0.2
B 0.1
6 0.05
D 0.6
E 0.05

Name and draw any two types of spatial masks used for edge detection.

بد بد ‎TBR‏

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