Sunday, July 6, 2014

Digital Signal and Image Processing (DSIP) Semester 7 (3 Hours) December 2011

Digital Signal and Image Process
Digital Signal and Image Processing (DSIP)
Semester 7
(3 Hours) December 2011

 
MP-5617
[Total Marks : 100]
 
N.B: (1) Question no 1 is compulsory.  
  (2) Attempt any four question out of remaining six questions.  
  (3) Figures the right indicate full marks.  
  (4) Answer to the questions should be grouped and written together.  
  (5) Assume any suitable data wherever required but justify the same.  
       
1. Justify / contradict following stataments.  
  (a) If the energy of the signal is finite its power is zero. 05
  (b) laplacian is better than gradient for detection of edges. 05
  (c) Walsh transform is nothing but sequence ordered Hadmard transform matrix 05
  (d) All image compression techniques are invertible. 05
       
2. (a) Find the following sequences are periodic or not. If yes find the fundamental time period.
(i) x1)(n) = e∫(n/2)n   (ii) X2 (n) = 3 sin (1/8)n
10
  (b) Obtain linear convolution of two discrete time signals as below
x (n) = u (n)

h(n) = an u(n), a < 1

Show that 1-a n+3/1 - a
10
       
3. (a) Find cross-correction between given signals
x(n) = {1,2,0,1}
                  ⇑
y(n) = {4,3,2,1}
                  ⇑
05
  (b) Find z-transform of x(n) and draw its ROC
x(n) = [0.5n sin (Πn/4]u(n)
10
  (c) Determine auto-correction of the following signal

x(n) = {1, 3, 1, 1}
            ⇑

05
       
4. (a) Using 4 point FFT algorithm, calculate 2-D DFT of
 
f (x, y) = [ 0 0 3 1
1 1 2 2
2 2 1 3
1 1 2 4
]
10
  (b) Write 8x8 Hadmard transform matrix and its signal flow graph. Using the Butterfly diagram, compute Hadmard transform for
x(n) = {1, 2, 3, 4, 1, 2, 1, 2}
10
     
5. (a) Perform histogram equalization and draw new equalized histogram of the following image data.
 
Gray Level 0 1 2 3 4 5 6 7
No. of pixels 790 1023 850 656 329 245 122 81
10
  (b) What is image segmentation? Explain the following methods of image segmentation.
(i) Region growing
(ii) Region splitting
(iii) Thresholding
10
       
6. (a) What are the different types of redundancies in digital image? Explain in detail. 10
  (b) For the 3 bit 4x4 size image perform following operations.
(i) Thresholding T = 4
(ii) Intensity level slicing with background, r1= 2 and r2 = 5
(iii) Bit plane slicing for MSB and LSB planes
(iv) Negation
 
4 2 3 0
1 3 5 7
5 3 2 1
2 4 6 7
10
       
7. write notes on ( any four) :- 20
  (a) Discrete Cosine transform  
  (b) Wiener filter  
  (c) Difference between Low-pass filter and Median filter  
  (d) Hough transform  
  (e) Homomorphic filter  
  (f) 4, 8, m correctively of image pixels  

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