Exam Details
| Subject | elective – i : image and video procesing | |
| Paper | ||
| Exam / Course | f.y. m.tech. (civil -structural engg.) | |
| Department | ||
| Organization | solapur university | |
| Position | ||
| Exam Date | 12, December, 2018 | |
| City, State | maharashtra, solapur |
Question Paper
F.Y. M.Tech. (Electronics) (Semester (New CBCS)
Examination, 2018
Elective I image and video procesing
Day and Date Wednesday, 12-12-2018 Total Marks 70
Time 10.00 a.m. to 1.00 p.m.
Instructions All questions are compulsory.
Figures to the right indicate full marks.
1. Solve any four questions.
Explain basic concepts of digital video.
Explain 2D orthogonal and unitary transforms.
Explain 4 × 4 Haar transform.
Explain motion-compensated filtering.
Write short note on Bayesian Method.
2. Solve the following questions.
Perform and explain histogram equalization of the image.
10 10 35 25
35 25 40 35
40 35 10 10
35 10 25 10
.
Explain the following
Image restoration/degradation Model.
Intra frame shift invariant restoration.
Set P
3. Solve any four questions.
Explain any two method of edge detection.
Explain Lossless image compression including entropy coding.
Explain spatiotemporal change detection.
Write short note on video quality assessment.
Explain details of special feature extraction.
4. Solve the following questions.
Explain video compression technique.
Write short note on
Shape features
Scene matching and detection.
Examination, 2018
Elective I image and video procesing
Day and Date Wednesday, 12-12-2018 Total Marks 70
Time 10.00 a.m. to 1.00 p.m.
Instructions All questions are compulsory.
Figures to the right indicate full marks.
1. Solve any four questions.
Explain basic concepts of digital video.
Explain 2D orthogonal and unitary transforms.
Explain 4 × 4 Haar transform.
Explain motion-compensated filtering.
Write short note on Bayesian Method.
2. Solve the following questions.
Perform and explain histogram equalization of the image.
10 10 35 25
35 25 40 35
40 35 10 10
35 10 25 10
.
Explain the following
Image restoration/degradation Model.
Intra frame shift invariant restoration.
Set P
3. Solve any four questions.
Explain any two method of edge detection.
Explain Lossless image compression including entropy coding.
Explain spatiotemporal change detection.
Write short note on video quality assessment.
Explain details of special feature extraction.
4. Solve the following questions.
Explain video compression technique.
Write short note on
Shape features
Scene matching and detection.
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