CS201 Digital Image Processing M.SC Question Bank : mitacsc.ac.in

Name of the University : University of Pune
Name of the College : MIT Arts Commerce & Science College
Degree : M.SC
Department : Computer Science
Subject Code/Name : CS-201 Paper I Digital Image Processing (Core)
Year : I
Semester : II
Document Type : Question Bank
Website : mitacsc.ac.in

Download Model/Sample Question Paper :https://www.pdfquestion.in/uploads/mitacsc.ac.in/3853-dip_qb.pdf

Digital Image Processing :

1. INTRODUCTION
1.What is digital image processing, what are the various fields that
2. What are the components of Image processing system.

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3. What are the fundamental steps in digital image processing.
4. Define Digital Image Processing
5. Give example of fields that uses Digital Image Processing
6. Define- Digital Image Processing Also give two example two example
7. Explain fundamental steps in DIP.
8.Explain Components of Image processing system
9.Explain how DIP is used in X-Ray imaging-
10.What are the two elements that are required to acquire digital

2. DIGITAL IMAGE FUNDAMENTALS :
1. What is Image sampling-
2. What is gray-level resolution-
3. What are linear &non liner operations on pixel basis-
4. Is there any basic relationship between pixels and neighbors
5. Explain linear and non linear operations in DIP
6. What are the elements of visual perception-
7. Explain zooming and shrinking in digital images, how it takes place-
8. Explain the operation on Pixel basis.
9. What is quantization-
10. What is Image sensing-
11. What is Electromagnetic Spectrum-
12. Which are the components of single sensor in “Image Acquisition”
13. How piece wise liner transformation takes place-
14. What are the elements of visual perception.
15. What are Sensor strips and Sensor arrays.
16. Explain about Image sampling and quantization
17. Explain about Spatial and Gray – Level Resolution.
18. Explain about aliasing and moiré patterns.
19. Explain about linear and non-linear operations on images.
20. Explain about operations on a pixel basis.

3. IMAGE ENHANCEMENT IN THE SPATIAL DOMAIN :
1. Explain use of log in gray level transformation
2. How histogram equalization is useful in histogram processing
3. What is mean by Image Subtraction-
4. What are spatial enhancement methods-
5. Explain Histogram processing.
6. What is use of 1st and 2nd derivation enhancement-
7. What is spatial filtering-
8. Explain Local enhancement, Image averaging.
9. What are first derivatives for image enhancement- Explain.
10. Explain about Piecewise-Linear Transformations
11. Explain about :
(a) Histogram Processing
(b) Histogram Equalization
(c) Histogram Matching
12. Explain about Enhancement using Arithmetic/Logic operations.
13. Explain about Image subtraction, image averaging.
14. Explain about smoothing of spatial filters, smoothing of linear and order-statistics filters.
15. Explain about the gradient in combining spatial enhancement methods.
16. Explain about laplacian.

4. IMAGE ENHANCEMENT IN THE FREQUENCY DOMAIN :
1) What is meant by Fourier transformation-
2) Explain correspondence between filtering in spatial & frequency domains.
3) What is meant by homographic filtering implementation-
4) Give two additional properties of 2D Fourier transformations.
5) Explain need for padding.
6) How image restoration takes place.
7) Explain two dimensional DFT and its inverse.
8) Explain one dimensional Fourier transform and its inverse.
9) What is smoothing.
10) Explain the terms

5. Image Restoration :
1. How noise is reduced by frequency domain filtering?
2. What is inverse filtering?
3. In filtering how mean square error is removed?
4. Why grey-level Interpolation is used?
5. Explain grey-level Interpolation.
6. Explain noise model.
7. Explain periodic noise reduction by frequency domain filtering.
8. What is degradation function?
9. What is wiener filtering?
10. How periodic noise is reduced?
11. Explain image degradation/ restoration process with the help of example
12. Explain about Spatial Filtering, Order-Statistics, Adaptive Filters
13. Explain about : Bandreject, Bandpass
14. Explain about NotchFilters
15. Explain about various filtering techniques.
16. Explain about Geometric and Spatial Transformations
17. Explain about Gray-level interpolation.

6. Color Image Processing :
1) What is psecolor image processing?
2) Why smoothing & sharpening is required in processing of image?
3) Explain color models (RGB,CMY,HSI)
4) What is noise in color image?
5) What is color segmentation?
6) Explain about various color models
7) Explain about pseudocolor image processing.
8) What is intensity slicing?
9) What is gray level to color transformations?
10) What is color slicing?