Download GTU (Gujarat Technological University) BE/BTech (Bachelor of Engineering / Bachelor of Technology) 2019 Summer 6th Sem New 2161604 Image Processing Previous Question Paper
Seat No.: ________ Enrolment No.___________
GUJARAT TECHNOLOGICAL UNIVERSITY
BE - SEMESTER ?VI(NEW) ? EXAMINATION ? SUMMER 2019
Subject Code:2161604 Date:21/05/2019
Subject Name:Image processing
Time:10:30 AM TO 01:00 PM Total Marks: 70
Instructions:
1. Attempt all questions.
2. Make suitable assumptions wherever necessary.
3. Figures to the right indicate full marks.
Q.1 (a) Define following terms:
(i) Resolution
(ii) Kernel
(iii) Contrast Stretching
03
(b) Explain three levels of image processing processes. 04
(c) Explain the digitizing process of real world scene. 07
Q.2 (a) Define following terms:
(i) Simultaneous Contrast
(ii) m-adjacency
(iii) D4 Distance
03
(b) List and Explain Components of an Image Processing System. 04
(c) What is Histogram? What is significance of Histogram Equalization? Explain
process on Histogram equalization NxN size image.
07
OR
(c) Explain Bitplane slicing method of Image Representation. What is the
significance of this method in image compression and information hiding?
07
Q.3 (a) (i) Histogram equalization always improves the visual appearance.(T/F)
(ii)Two different images of same size can have same histogram.(T/F)
(iii) Histogram Equalization is a Contrast Stretching Operation. (T/F)
03
(b) Explain Image Smoothing Filters in Spatial Domain. 04
(c) Explain use of derivatives in sharpening an image. derive all essential
equations and mask elements.
07
OR
Q.3 (a) Which are the steps for performing image processing in frequency domain? 03
(b) Explain Image Sharpening Filters in Frequency Domain. 04
(c) What is the difference between degradation and noise? Explain image
degradation and restoration model.
07
Q.4 (a) Explain image subtraction and image averaging method. 03
(b) Explain log transformation and negative transformation method. 04
(c) Why Pseudocolor image processing is required? What are the techniques to
achieve pseudo image? List few applications of it
07
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Seat No.: ________ Enrolment No.___________
GUJARAT TECHNOLOGICAL UNIVERSITY
BE - SEMESTER ?VI(NEW) ? EXAMINATION ? SUMMER 2019
Subject Code:2161604 Date:21/05/2019
Subject Name:Image processing
Time:10:30 AM TO 01:00 PM Total Marks: 70
Instructions:
1. Attempt all questions.
2. Make suitable assumptions wherever necessary.
3. Figures to the right indicate full marks.
Q.1 (a) Define following terms:
(i) Resolution
(ii) Kernel
(iii) Contrast Stretching
03
(b) Explain three levels of image processing processes. 04
(c) Explain the digitizing process of real world scene. 07
Q.2 (a) Define following terms:
(i) Simultaneous Contrast
(ii) m-adjacency
(iii) D4 Distance
03
(b) List and Explain Components of an Image Processing System. 04
(c) What is Histogram? What is significance of Histogram Equalization? Explain
process on Histogram equalization NxN size image.
07
OR
(c) Explain Bitplane slicing method of Image Representation. What is the
significance of this method in image compression and information hiding?
07
Q.3 (a) (i) Histogram equalization always improves the visual appearance.(T/F)
(ii)Two different images of same size can have same histogram.(T/F)
(iii) Histogram Equalization is a Contrast Stretching Operation. (T/F)
03
(b) Explain Image Smoothing Filters in Spatial Domain. 04
(c) Explain use of derivatives in sharpening an image. derive all essential
equations and mask elements.
07
OR
Q.3 (a) Which are the steps for performing image processing in frequency domain? 03
(b) Explain Image Sharpening Filters in Frequency Domain. 04
(c) What is the difference between degradation and noise? Explain image
degradation and restoration model.
07
Q.4 (a) Explain image subtraction and image averaging method. 03
(b) Explain log transformation and negative transformation method. 04
(c) Why Pseudocolor image processing is required? What are the techniques to
achieve pseudo image? List few applications of it
07
2
OR
Q.4 (a) What is significance of Color models? List applications of RGB, HIS and
CMYK color Models.
03
(b) Explain spatial correlation and convolution with suitable example. Write all
conclusions.
04
(c) Suggest an appropriate image restoration technique for the removal of
following noise and explain the same in brief: 1. Salt and pepper noise 2. Salt
noise 3. Pepper noise 4. Uniform noise
07
Q.5 (a) What is significance of DCT in Image processing? 03
(b) Explain JPEG Compression Model fundamental steps. 04
(c) Compare Fourier and wavelet transform. Mention applications of wavelet.
Explain image pyramid in detail.
07
OR
Q.5 (a) Which type of redundancy can be found in images? 03
(b) Explain Image Segmentation based on color. 04
(c) Write a note on Optimum Global Thresholding Using Otsu?s Method. 07
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This post was last modified on 20 February 2020