M.Sc. DEGREE EXAMINATION, NOVEMBER 2017
Third Semester
Computer Science and Information Technology
Elective DIGITAL IMAGE PROCESSING
(CBCS 2014 onwards)
Time 3 Hours Maximum 75 Marks
Part A (10 X 2 20)
Answer all the questions.
1. Mention the elements in digital image processing system.
2. List out the advantages of hoteling transform.
3. Specify the need for image subtraction.
4. What are the uses of spatial filtering?
5. Specify any two algebraic approaches to restoration.
6. What is inverse filtering?
7. Write the advantages of error free compression.
8. Mention the various image compression standards.
9. Write any two applications of pattern recognition.
10. What is syntactic pattern recognition?
Sub. Code
4MCI3E2
AFF-5001
2
Sp 5
Part B X 5 25)
Answer all the questions.
11. Write a note on Discrete Fourier transform.
Or
Discuss about image sampling and quantization
techniques.
12. Write short note on contrast stretching dynamic
range compression.
Or
Describe about frequency domain methods.
13. Discuss about least mean square filtering approach.
Or
Elucidate degradation model.
14. Define the following terms:
Interpixel psychovisual redundancy.
Or
Explain about edge linking and boundary detection
method in image segmentation.
15. Write short note on AI applications to pattern
recognition problems.
Or
Describe on bayers classifier and perception
criterion function.
AFF-5001
3
Sp 5
Part C X 10 30)
Answer any three questions.
16. Explain in detail the separable image transforms.
17. Describe about the color image processing.
18. Write brief note on restoration in the spatial domain.
19. Discuss in detail the Lossy compression and lossy
predictive coding.
20. Explain in detail about the pattern classification using
statistical approach.
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