Bharathidasan University, M.sc Degree Examination, Computer Science, Digital Image Processing, Nov 2020. model question papers



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Posted Date: 10 Jun 2021      Posted By:: Jannane.M    Member Level: Gold  Points: 3 (₹ 2)

2020 M.Sc Computer Science Bharathidasan University, M.sc Degree Examination, Computer Science, Digital Image Processing, Nov 2020. Question paper



Course: M.Sc Computer Science   University/board: Bharathidasan University

Are you looking for the old question papers from Bharathidasan University of Digital Image Processing paper? Here is the previous year question paper from Bharathidasan University. This is the original question paper of Digital Image Processing exam conducted in Nov 2020. Feel free to download the question paper from here and use it to prepare for your upcoming exams.



S.no. 3750
(For candidates admitted from 2011-2015 batch)

M.sc Degree Examination, Nov 2020

Computer Science - Major

Digital Image Processing

Time : Three Hours Maximum : 75 marks

Part A - (10×2=20 marks)

Answer all questions

1. Define Quantization.

2. Define Image Sampling.

3. Write the properties of cosine transform.

4. Write the properties of slant transform.

5. What do you mean by Point Processing?

6. What is Contrast stretching?

7. Define Circulant Matrix.

8. What is blind image restoration.

9. Define Compression ratio.

10. What is Transform coding?

Part B - (5×5=25 marks)

Answer all questions choosing either (a) or (b)

11.a) What is Image Processing and explain the components of it.

Or

b) Discuss about various methods of Image Acquisition and explain about Quantization.

12.a) Explain in detail about Walsh Transform.

Or

b) Illustrate Singular value Decomposition Transform in detail.

13.a) Describe the need for Image Enhancement in digital Image Processing.

Or

b) Explain about Gray Level Transformation functions for contrast Enhancement.

14.a) Explain Wiener Filtering in Image Restoration.

Or

b) Write about non linear filters in image processing.

15.a) Explain about Image data Compression and why it is needed?

Or

b) Explain Image compression standards in detail.

Part C - (3×10=30 marks)

Answer any Three questions

16. Explain in detail about Monochrome vision model in digital image processing.

17. What is meant by Image Enhancement by point processing? Discuss about Gray-Level Slicing.

18. Sketch perspective plot of a 2-D Ideal Low pass filter transfer function and filter cross section and explain its usefulness in Image Enhancement.

19. Explain in detail about various Image Restoration filters in detail.

20. Discuss about Algebraic restoration techniques.





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