Exam Details
| Subject | digital image processing | |
| Paper | ||
| Exam / Course | computer science and engineering | |
| Department | ||
| Organization | Vardhaman College Of Engineering | |
| Position | ||
| Exam Date | December, 2017 | |
| City, State | telangana, hyderabad |
Question Paper
Hall Ticket No:
Question Paper Code B3251
(AUTONOMOUS) M. Tech I Semester Regular/Supplementary Examinations, January 2018
(Regulations: VCE-R15) DIGITAL IMAGE PROCESSING
(Computer Science and Engineering) Date: 06 January, 2018 FN
Time: 3 hours
Max Marks: 70
Answer any FIVE Questions
Each Question carries equal marks
1.
How image is mathematically modeled? Explain in detail.
7M
Explain image digitization process in detail.
7M
2.
Explain how Walsh transform is used in image processing.
7M
Define and explain the properties of Haar transform.
7M
3.
Explain the mechanics of spatial filters used in image enhancement. Define spatial mask used for image averaging in spatial domain and explain.
7M
Compare smoothing frequency domain filters.
7M
4.
Draw and explain the block diagram of simple image degradation/restoration model and derive the expression for image degradation model.
7M
Derive LMS filter used for digital image restoration.
7M
5.
What is Hough transform? Explain it in detail with a suitable example.
7M
What are the different ways of performing region based image segmentation? Explain any one method with a suitable example.
7M
6.
Explain LZW coding used in image compression with a suitable example.
7M
Draw the block diagram of lossy predictive coding system and explain it.
7M
7.
Compare RGB and HSI color models.
7M
Write about pseudo color image processing.
7M
8.
Explain the concept of opening and the concept of closing used in image morphology.
7M
What is skeletonization? Explain in detail.
7M
Question Paper Code B3251
(AUTONOMOUS) M. Tech I Semester Regular/Supplementary Examinations, January 2018
(Regulations: VCE-R15) DIGITAL IMAGE PROCESSING
(Computer Science and Engineering) Date: 06 January, 2018 FN
Time: 3 hours
Max Marks: 70
Answer any FIVE Questions
Each Question carries equal marks
1.
How image is mathematically modeled? Explain in detail.
7M
Explain image digitization process in detail.
7M
2.
Explain how Walsh transform is used in image processing.
7M
Define and explain the properties of Haar transform.
7M
3.
Explain the mechanics of spatial filters used in image enhancement. Define spatial mask used for image averaging in spatial domain and explain.
7M
Compare smoothing frequency domain filters.
7M
4.
Draw and explain the block diagram of simple image degradation/restoration model and derive the expression for image degradation model.
7M
Derive LMS filter used for digital image restoration.
7M
5.
What is Hough transform? Explain it in detail with a suitable example.
7M
What are the different ways of performing region based image segmentation? Explain any one method with a suitable example.
7M
6.
Explain LZW coding used in image compression with a suitable example.
7M
Draw the block diagram of lossy predictive coding system and explain it.
7M
7.
Compare RGB and HSI color models.
7M
Write about pseudo color image processing.
7M
8.
Explain the concept of opening and the concept of closing used in image morphology.
7M
What is skeletonization? Explain in detail.
7M
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