Question Paper: Digital Image Processing : Question Paper May 2015 - Electronics Engineering (Semester 7) | Mumbai University (MU)
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Digital Image Processing - May 2015

Electronics Engineering (Semester 7)

TOTAL MARKS: 80
TOTAL TIME: 3 HOURS
(1) Question 1 is compulsory.
(2) Attempt any three from the remaining questions.
(3) Assume data if required.
(4) Figures to the right indicate full marks.


1 (a) What do you mean by zero memory operations? (5 marks)


1 (b) Differentiate between 8 connectivity and m connectivity. (5 marks)


1 (c) What is truncated Huffman code? (5 marks)


1 (d) Justify the statement: "Laplacian filter is a high pass filter". (5 marks)


2 (a) Explain the following enhancement operations and draw the graph of transformation function:
i) Dynamic range compression
ii) Gray level slicing.
(10 marks)


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 marks)


3 (a) Explain in detail the types of data redundancies seen in digital images. (10 marks)


3 (b) Explain the method of edge linking using Hough Transform. (10 marks)


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 marks)


4 (b) Explain the importance of kernel separatility property of 2DDFT in implementing 2DFFT. (6 marks)


4 (b) Differentiate between spatial and tonal resolution. (6 marks)


5 (a) Explain why it is difficult to threshold images with poor illumination. (10 marks)


5 (b) With the help of neat block diagram, explain the working of homomorphic filter. (10 marks)


6 (a) What are fourier Descriptors? Explain how a two dimensional boundary is represented using Fourier Description. (10 marks)


6 (b) Explain how Huffman code removes coding redundancy. (10 marks)


Write short notes on any four of the following:

7 (a) Moments (5 marks)


7 (b) Wavelet transform (5 marks)


7 (c) Digital water marking (5 marks)


7 (d) Biometric authentication (5 marks)


7 (e) Motion based segmentation. (5 marks)

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