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
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1 (a) (iii)
Brightness discrimination is poor at low levels of illumination
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1 (a) (iv)
Enhacement process does not add any information to the image.
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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.
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3 (a) (ii)
Image Enhancement and Image Restoration.
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3 (a) (iii)
Lossless and Lossy Compression
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3 (b)
Find the DFT of the given image.
\(\begin{bmatrix} 0 &1 &2 &1 \\1 &2 &3 &2 \\2 &3 &4 &3 \\1 &2 &3 &2 \end{bmatrix}\)
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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 -
\[x\left(z\right)=\frac{z^3-4z^2+5z}{\left(z-1\right)\left(z-2\right)\left(z-3\right)}\]
(i) ROC=|z|>3
(ii) ROC=|z|<1
ROC=2<|z|<3
\[x\left(z\right)=\frac{z^3-4z^2+5z}{\left(z-1\right)\left(z-2\right)\left(z-3\right)}\]
(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
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5 (a)
Explain filtering in spatial Domain.
10 M
5 (b)
Explain segmentation based on discontinuities.
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5 (c)
Explain Hough-Transform and its application in detection of shapes.
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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.
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7 (d)
Trimmed Average filter.
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7 (e)
Homomorphic filtering.
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