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MU Electronics Engineering (Semester 7)
Digital Image Processing
May 2015
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

1 (a) What do you mean by zero memory operations?
5 M
1 (b) Differentiate between 8 connectivity and m connectivity.
5 M
1 (c) What is truncated Huffman code?
5 M
1 (d) Justify the statement: "Laplacian filter is a high pass filter".
5 M

2 (a) Explain the following enhancement operations and draw the graph of transformation function:
i) Dynamic range compression
ii) Gray level slicing.
10 M
2 (b) Perform histogram equalization on the following image histogram and plot original and equalized histograms.
 Gray Level 0 1 2 3 4 5 6 7 Number of pixel 550 300 0 0 0 200 325 225
10 M

3 (a) Explain in detail the types of data redundancies seen in digital images.
10 M
3 (b) Explain the method of edge linking using Hough Transform.
10 M

4 (a) "Calculate the 2DDFT and Hadamard transform of the image segment shown below using matrix multiplication method. $f(x,y)= \begin{matrix} 0 &0 &1 &4 \\1 &1 &1 &4 \\1 &0 &1 &0 \\0 &2 &0 &2 \end{matrix}$"
8 M
4 (b) Explain the importance of kernel separatility property of 2DDFT in implementing 2DFFT.
6 M
4 (b) Differentiate between spatial and tonal resolution.
6 M

5 (a) Explain why it is difficult to threshold images with poor illumination.
10 M
5 (b) With the help of neat block diagram, explain the working of homomorphic filter.
10 M

6 (a) What are fourier Descriptors? Explain how a two dimensional boundary is represented using Fourier Description.
10 M
6 (b) Explain how Huffman code removes coding redundancy.
10 M

Write short notes on any four of the following:
7 (a) Moments
5 M
7 (b) Wavelet transform
5 M
7 (c) Digital water marking
5 M
7 (d) Biometric authentication
5 M
7 (e) Motion based segmentation.
5 M

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