STUPIDSID
1 (a)
Is Huffman code optimal prove with example
5 M
1 (b)
Compare contrast stretching and histogram equalization.
5 M
1 (c)
Why is zig-zag scanning preferred in JPEG standard.
5 M
1 (d)
Explain modelling the degradation function in image restoration
5 M
2 (a)
Explain various steps in image processing with diagram
5 M
2 (b)
Explain 4-connectivity, 8 connectivity and mixed connectivity.
5 M
2 (c)
For following image find:
i) Digital negative of an image
Contrast strutching r2=5, r1=3,s2=6,s1=2
iii) Bit plane slicing
f(x,y)=
i) Digital negative of an image
Contrast strutching r2=5, r1=3,s2=6,s1=2
iii) Bit plane slicing
f(x,y)=
| 4 | 3 | 2 | 1 |
| 3 | 1 | 2 | 4 |
| 5 | 1 | 6 | 2 |
| 2 | 3 | 5 | 6 |
10 M
3 (a)
Apply slant transform and DCT transform on the given image and compare the result.
f(x,y)=
f(x,y)=
| 2 | 2 | 2 | 1 |
| 2 | 4 | 4 | 2 |
| 2 | 4 | 4 | 2 |
| 2 | 2 | 2 | 2 |
10 M
3 (b)
Consider following image
f(x,y)=
write procedure for histogram equalization.
f(x,y)=
| 4 | 4 | 4 | 4 | 4 |
| 3 | 4 | 5 | 4 | 3 |
| 3 | 5 | 5 | 5 | 3 |
| 3 | 4 | 5 | 4 | 3 |
| 4 | 4 | 4 | 4 | 4 |
write procedure for histogram equalization.
10 M
4 (a)
Explain in detail JPEG-encoder and decoder
8 M
4 (b)
Filter following image using 3×3 neighbourhood averaging by assuming
i) zero padding
ii) pixel replication
f(x,y)=
i) zero padding
ii) pixel replication
f(x,y)=
| 1 | 2 | 3 | 2 |
| 4 | 2 | 5 | 4 |
| 1 | 2 | 6 | 3 |
| 2 | 4 | 6 | 7 |
12 M
5 (a)
Find Hadamard transform of following image
f(x,y)=
f(x,y)=
| 1 | 1 | 1 | 1 |
| 1 | 1 | 0 | 1 |
| -1 | 1 | -1 | 1 |
| 1 | 0 | 1 | 1 |
10 M
5 (b)
Name different types of image segmentation technique. Explain splitting and merging technique with the help of an example.
10 M
6 (a)
Explain image enhancement in frequency domain
10 M
6 (b)
Using Hough's transform, find the line passing through the maximum number of
points given below.
(3,4),(0,-4),(1,4),(6,12),(4,1)
(1.5,0),(-2,2),(-1,-3),(3,-2)
(3,4),(0,-4),(1,4),(6,12),(4,1)
(1.5,0),(-2,2),(-1,-3),(3,-2)
10 M
7
Write short notes on :
(a) Haar Transform (b) Wiener Filtering
(c) Hotelling Transform.
(a) Haar Transform (b) Wiener Filtering
(c) Hotelling Transform.
20 M
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