Exam Details
| Subject | elective — digital image processing | |
| Paper | ||
| Exam / Course | m.sc. computer science | |
| Department | ||
| Organization | alagappa university | |
| Position | ||
| Exam Date | November, 2017 | |
| City, State | tamil nadu, karaikudi |
Question Paper
M.Sc. DEGREE EXAMINATION, NOVEMBER 2017
Second Semester
Computer Science
Elective — DIGITAL IMAGE PROCESSING
(CBCS 2014 onwards)
Time 3 Hours Maximum 75 Marks
Part A (10 x 2 20)
Answer all questions.
1. Define sampling and quantization.
2. What is mixed adjacency?
3. What is meant by contrast stretching?
4. What is a linear spatial filter? What are the applications
of smoothing linear filters?
5. What is aliasing?
6. What are notch filters?
7. State the need for image restoration.
8. What is blind deconvolution?
9. What is chromaticity?
10. What is meant by tonal range of an image?
Sub. Code
4MCE2E6
AFF-4960
2
Ws15
Part B x 5 25)
Answer all questions.
11. Explain the applications of digital image processing
with reference to electromagnetic spectrum.
Or
Explain connectivity and regions in digital images.
12. Describe histogram processing.
Or
Discuss the use of fuzzy sets for intensity
transformations.
13. Describe the derivation of DFT of one variable.
Or
Explain the steps for filtering in frequency domain.
14. Explain inverse filtering.
Or
Describe the noise probability density functions
found in image processing applications.
15. Explain pseudocolor image processing.
Or
Explain the approaches for color image smoothing
and sharpening.
AFF-4960
3
Ws15
Part C x 10 30)
Answer any three questions.
16. Describe the process of image sensing and acquisition.
17. Explain the spatial filtering approaches for sharpening.
18. Explain the properties of 2-D DFT.
19. Describe the methods for estimating the degradation
function.
20. Explain the color models and the equations for converting
colors from one model to another.
Second Semester
Computer Science
Elective — DIGITAL IMAGE PROCESSING
(CBCS 2014 onwards)
Time 3 Hours Maximum 75 Marks
Part A (10 x 2 20)
Answer all questions.
1. Define sampling and quantization.
2. What is mixed adjacency?
3. What is meant by contrast stretching?
4. What is a linear spatial filter? What are the applications
of smoothing linear filters?
5. What is aliasing?
6. What are notch filters?
7. State the need for image restoration.
8. What is blind deconvolution?
9. What is chromaticity?
10. What is meant by tonal range of an image?
Sub. Code
4MCE2E6
AFF-4960
2
Ws15
Part B x 5 25)
Answer all questions.
11. Explain the applications of digital image processing
with reference to electromagnetic spectrum.
Or
Explain connectivity and regions in digital images.
12. Describe histogram processing.
Or
Discuss the use of fuzzy sets for intensity
transformations.
13. Describe the derivation of DFT of one variable.
Or
Explain the steps for filtering in frequency domain.
14. Explain inverse filtering.
Or
Describe the noise probability density functions
found in image processing applications.
15. Explain pseudocolor image processing.
Or
Explain the approaches for color image smoothing
and sharpening.
AFF-4960
3
Ws15
Part C x 10 30)
Answer any three questions.
16. Describe the process of image sensing and acquisition.
17. Explain the spatial filtering approaches for sharpening.
18. Explain the properties of 2-D DFT.
19. Describe the methods for estimating the degradation
function.
20. Explain the color models and the equations for converting
colors from one model to another.
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