STUPIDSID
Justify/Contradict the following statement (any four) :-
1 (a) (i)
Unit step sequence is a powersignal
5 M
1 (a) (ii)
If the energy of the signal is finite its power is zero
5 M
1 (a) (iii)
Brightness discrimination is poor at low levels of illumination
5 M
1 (a) (iv)
Enhacement process does not add any information to the image.
5 M
1 (a) (v)
All image compression techniques are invertible.
5 M
2 (a)
Write an expression for 2-D DFT. What is its relationship with one dimention DFT? How one-dimensional FFT algorithm can be used to compute two dimensional DFT of an digital image.
10 M
2 (b)
Define signals and systems and also give any 4 classification of Discrete Time Signals with examples.
10 M
Compare and constrast between the following (any two -)
3 (a) (i)
Spatial Domain Processing and Transform Domain Processing.
5 M
3 (a) (ii)
Image Enhancement and Image Restoration.
5 M
3 (a) (iii)
Lossless and Lossy Compression
5 M
3 (b)
Find the DFT of the given image.
[0121123223431232]
5 M
3 (c)
Find the circular convolution of two sequence -
x1(n)={1,-1,2,-4} and x2(n)={1,2}
x1(n)={1,-1,2,-4} and x2(n)={1,2}
5 M
4 (a)
Find the universe Z-transform of -
x(z)=z3−4z2+5z(z−1)(z−2)(z−3)
(i) ROC=|z|>3
(ii) ROC=|z|<1
ROC=2<|z|<3
x(z)=z3−4z2+5z(z−1)(z−2)(z−3)
(i) ROC=|z|>3
(ii) ROC=|z|<1
ROC=2<|z|<3
10 M
4 (b)
What are the different types of redundancies in images.
5 M
4 (c)
Explain Fidelity Criteria
5 M
5 (a)
Explain filtering in spatial Domain.
10 M
5 (b)
Explain segmentation based on discontinuities.
5 M
5 (c)
Explain Hough-Transform and its application in detection of shapes.
5 M
6 (a)
Explain the salient feature of the following codes :-
(i) Huffman code
(ii) Lossy predictive coding
(iii) Tranform coding.
(i) Huffman code
(ii) Lossy predictive coding
(iii) Tranform coding.
10 M
6 (b)
Explain with suitable example region splitting and merging techniques for segmentation.
10 M
7 (a)
Sampling and Quantization.
5 M
7 (b)
Edge linking and Boundry detection via graph theoretic technique.
5 M
7 (c)
Image Restoration Model.
5 M
7 (d)
Trimmed Average filter.
5 M
7 (e)
Homomorphic filtering.
5 M
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