STUPIDSID
Write short notes on any four.
1 (a)
Connectivity of pixels
5 M
1 (b)
Median filters
5 M
1 (c)
Slant transform
5 M
1 (d)
Edge detection
5 M
1 (e)
Thresholding and its application.
5 M
2 (a)
Explain Image formation in eye with neat diagram.
10 M
2 (b)
Explain the following filtering operations in spatial domain.
i) Low pass filtering
ii) High pass filtering
iii) High Boost filtering.
i) Low pass filtering
ii) High pass filtering
iii) High Boost filtering.
10 M
3 (a)
Perform histogram Equalization for the following image. Plot the original and the Equalized Histograms.
| Intensity | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
| No. of pixels | 130 | 100 | 40 | 60 | 40 | 80 | 10 | 40 |
10 M
3 (b)
With neat block diagram, explain the basics of filtering in the frequency domain.
10 M
4 (a)
Explain the method of segmentation of images by region splitting and region growing.
10 M
4 (b)
A source emits seven symbols with probabilities: 0.1, 0.2, 0.06, 0.1, 0.2, 0.04, and 0.3. Find out Huffman code words and efficiency of the system.
10 M
5 (a)
Explain following method of data compression indicating clearly whether they are lossy or lossless. Also state the type of redundancy.
10 M
5 (b)
Calculate the DCT of the following table:
| 2 | 4 | 4 | 2 |
| 4 | 2 | 2 | 4 |
| 4 | 2 | 2 | 4 |
| 2 | 4 | 4 | 2 |
10 M
6 (a)
Derive a mathematical model for image degradation function.
10 M
6 (b)
Explain the use of Inverse filters and Wiener Filters for image restoration.
10 M
Write short notes on any two.
7 (a)
Hotelling Transform
10 M
7 (b)
Homomorphic Filters.
10 M
7 (c)
Hough transform
10 M
7 (d)
Image compression standards.
10 M
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