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03000EC370052001

Explain the image restoration model.

Explain the different spatial filtering techniques used in images. Distinguish
them with appropriate masks.

Give the drawbacks of inverse filtering in image restoration.

Write a short note on Lagrange multipliers.

Define homomorphic filtering with necessary equations.

What is median filtering? Calculate the median value of underlined pixels given

below using a 3x3 mask.

12 13 22 26 32 24
f(m,n)=|34 123 24 100 34 22
14 15 13 32 31 21

PART ட

Answer any two full questions, each carries 20 marks
Explain the region based approaches to image processing.
Explain any DCT based image compression scheme. Compare the same with
Wavelet based image compression method.
An information source produces sequences of independent symbols
A,B,C,D,E,F,G with corresponding probability1/3, 1/27, 1/3, 1/9, 1/9, 1/27 &
1/27. Construct a binary code using Huffman coding algorithm.
Explain how the wavelet transform can be used for image compression.
Construct arithmetic coding to encode and decode the word “INDIA”.
Explain the methods of thresholding for image segmentation.
Explain edge detection using gradient operator. Explain edge linking using
Hough transform.
Segment the data sets (4,6), (5,10), (8,9), (3,9), (2,8), (8,4), (5,1) and (4,2) into

two clusters based on K means algorithm with initial sets as (3, 9) and (8, 4).

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