SPPU Electronics and Telecom Engineering (Semester 7)
Digital Image Processing
May 2017
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


Solve any one question from Q.1(a,b) &Q.2(a,b)
1(a) Describe spatial resolution in images.
4 M
1(b) List image file formats. Which information is available in the header of image file.
2 M

2(a) Explain the terms:
i) City block distance
ii) Chess board distance
4 M
2(b) Explain YIQ colour space. List it is application.
2 M

Solve any one question from Q.3(a,b) &Q.4(a,b)
3(a) Explain the difference between point porcessing and mask processing operation with the help of suitable example.
4 M
3(b) What is meant by image smoothing? Write one application of the same.
3 M

4(a) Explain image restoration with the help of block diagram.
4 M
4(b) Which filter is used to remove salt and pepper noise effectively? Justify your answer.
3 M

Solve any one question from Q.5(a,b) &Q.6(a,b)
5(a) Explain the need of fidelity criteria in image compression. Write any two fidelity measures.
4 M
5(b) How the entropy of image is calculated? Write significance of entropy in image processing.
3 M

6(a) Generate Huffman code for following data. Calculate efficiency of Huffman code.
Graylevel Proobability
a1 0.1
a2 0.4
a3 0.06
a4 0.1
a5 0.04
a6 0.3
4 M
6(b) What is meant by blocking artifact? Where is it observed?
3 M

Solve any one question from Q.7(a,b) &Q.8(a,b)
7(a) What is image dilation? Perform image dilation of matrix A using structuring element S.\[A=\begin{bmatrix} 0 & 0 & 0 &0 &0 \\ 0 & 1 &1 & 1 &0 \\ 0 &1 &1 &1 &0 \\ 0 & 1 &1 &1 & 0\\ 0 & 0 &0 & 0 &0 \end{bmatrix}S=\begin{bmatrix} 0 &1 &0 \\ 1 & 1 &1 \\ 0 & 1 &0 \end{bmatrix}\]
9 M
7(b) What is image segmentation? Explain adaptive thresholding. Write its application.
9 M

8(a) Explain how boundary extraction is achieved using dilation and erosion. Explainf any one application of boundary extraction.
9 M
8(b) Explain thinning and thickening operations in image morphology. Explain the term morphology.
9 M

Solve any one question from Q.9(a,b) &Q.10(a,b)
9(a) What are chain codes? Explain with the help of example.
8 M
9(b) What is image representation? Explain any two image representation techniques.
8 M

10(a) Explain boundary descriptors used in image processing.
8 M
10(b) What is principal Component Analysis? Explain in detail and write its application.
8 M

Solve any one question from Q.11(a,b) &Q.12(a,b)
11(a) Explain template matching for object recognition with example.
8 M
11(b) Explain the concept of classifier with the help of block diagram explain steps in typical object recognition process.
8 M

12(a) Explain character recognition system with the help of block diagram.
8 M
12(b) What is content Based Image Retrieval? Explain one application in detail.
8 M



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