MU Computer Engineering (Semester 7)
Image Processing
May 2012
Total marks: --
Total time: --
INSTRUCTIONS
(1) Assume appropriate data and state your reasons
(2) Marks are given to the right of every question
(3) Draw neat diagrams wherever necessary


Justify/Contradict the following statements:
1(a) Laplacian is better than gradient for detection of edges.
5 M
1(b) For digital image having salt and pepper noise, median filter is the best filter.
5 M
1(c) Unit Ramp signal is neither Energy nor Power Siginal.
5 M
1(d) Lossy compression is not suitable for compressing executable files.
5 M

2(a) Peform Histogram Equalization for following. Obtain a plot of original as well as the Equalized Histogram

10 M
2(b) A causal FIR system have 3 cascade blocks, first two have independent impulse responses h1(n)={1,2,2} & h2(n)=u(n)-u(n-2). Find the impulse response of 3rd block h3(n) if an overall impulse response is h(n)={2,5,6,3,2,2}
10 M

3(a) Explain in detail enhancement techniques in Spatial Domain used for images.
8 M
3(b) Explain homomorphic filtering in detail.
6 M
3(c) Find the DFT of the given image

6 M

4(a) Define the following:
(i) Eucledean distance
(ii) City block distance
(iii) Chess board distance.
(iv)m conectivity
10 M
4(b) Find DFT of given sequence (Use DITFFT Algorithm) x(n)={1,2,3,4,4,3,2,1}
10 M

5(a) Explain the method of segmentation of images by region splitting and merging.
10 M
5(b) Given below is the table of 8 symbols and their freq of occurance give Huffman code for each symbol

10 M

6(a) Perform the convolution of the following two sequences using Z transform

8 M
6(b) Find inverse Z-Transform

6 M
6(c) What is the difference between image restoration and image enhancement? What do they have in common?
6 M

Write short notes on :-
7(a) Discrete Cosine Transform
5 M
7(b) Sampling and Quantisation
5 M
7(c) Hough Transform
5 M
7(d) Wavelet Transform
5 M



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