AKTU Digital Image Processing (NEC032) Question Paper 2017-18
| University | Dr. A.P.J. Abdul Kalam Technical University (AKTU), Lucknow |
|---|---|
| Course | B.Tech, Semester VII |
| Subject | Digital Image Processing (NEC032) |
| Exam | Theory Examination 2017-18 (odd semester) |
| Time · Marks | 3 hours · 100 marks |
| Source | AKTU question paper, from the ABESIT question paper bank |
Note: Attempt all Sections.
Section A
Q1. Attempt all questions in brief · 2 × 10 = 20 marks
- Define Image?
- What do you meant by Gray level?
- Define Resolutions?
- Write the properties of Hadamard transform?
- Write down the type of image degradation?
- Write short note on Image Restoration?
- What is Data Compression?
- Define Haar transform.
- What is segmentation?
- Why edge detection is most common approach for detecting discontinuities?
Section B
Q2. Attempt any three of the following · 10 × 3 = 30 marks
- What are the various fundamental steps in digital image processing? Explain.
- Why Hadamard Transform is most suitable for digital image processing? Discuss Hadamard Transform with the help mathematical expression.
- Define and differentiate the inverse and wiener filter. Discuss the use of wiener filter in image processing. What do you mean by speckle? Describe a method for speckle reduction.
- Explain Image Compression model in detail.
- Define edge detection and edge linking. Also write the difference between them.
Section C
Q3
Attempt any one parts of the following · 10 × 1 = 10 marks
- Explain sampling and quantization. What is the difference between uniform and non- uniform sampling and quantization?
- Describe Physical Aspect of Image Acquisition. Also explain biological aspect of image acquisition.
Q4
Attempt any one parts of the following · 10 × 1 = 10 marks
- Explain Image Enhancement Techniques and discuss the importance of spatial operations.
- What do you mean by Gaussian noise and why is an averaging filter used to eliminate it?
Q5
Attempt any one parts of the following · 10 × 1 = 10 marks
- What are the different ways to estimate the degradation function? Explain.
- Discuss image restoration techniques. Explain in detail the image restoration in presence of noise only.
Q6
Attempt any one parts of the following · 10 × 1 = 10 marks
- Explain in detail the image compression algorithms and its types.
- Describe Inter-frame coding and predictive compression.
Q7
Attempt any one parts of the following · 10 × 1 = 10 marks
- How can you control over segmentation problem? Explain it.
- Explain edge linking using Hough transform.
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