Download GTU (Gujarat Technological University) BE/BTech (Bachelor of Engineering / Bachelor of Technology) 2019 Winter 7th Sem New 2173210 Digital Image Processing Previous Question Paper
Seat No.: ________ Enrolment No.___________
GUJARAT TECHNOLOGICAL UNIVERSITY
BE - SEMESTER ? VII (New) EXAMINATION ? WINTER 2019
Subject Code: 2173210 Date: 03/12/2019
Subject Name: Digital 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) How do you define and distinguish regions and boundary in an
image?
03
(b) What are the applications of imaging in Microwave and Infrared
band?
04
(c) List out various applications of digital images. 07
Q.2 (a) Show Euclidian distance with an example. 03
(b) Define 4- connectivity, 8-connectivity and m-connectivity with an
example.
04
(c) Consider the following 4 bit 4x4 image segment and perform the
low pass filtering using 3x3 average mask. Also discuss what
changes will happen to the image. Consider all border pixels are
padded with intensity value 1.
[
1 1 7 2
2 10 3 10
5 12 4 11
4 2 10 15
]
07
OR
(c) Explain Histogram equalization with its importance in image
processing.
07
Q.3 (a) What is Power-Law transformation? What is its application? 03
(b) What is bit plane slicing? Elaborate. 04
(c) How do you perform filtering process in frequency domain? Show
step by step process with clear diagram.
07
OR
Q.3 (a) Briefly show the sampling process of digitization. 03
(b) Discuss arithmetic addition and subtraction operation on the
image.
04
(c) Explain Image degradation and restoration process. 07
Q.4 (a) How do you compare Image enhancement vs Image restoration? 03
(b) Derive laplacian operator for high pass filtering and show its
application.
04
(c) Discuss Gaussian, Rayleigh and Uniform noise. 07
OR
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Seat No.: ________ Enrolment No.___________
GUJARAT TECHNOLOGICAL UNIVERSITY
BE - SEMESTER ? VII (New) EXAMINATION ? WINTER 2019
Subject Code: 2173210 Date: 03/12/2019
Subject Name: Digital 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) How do you define and distinguish regions and boundary in an
image?
03
(b) What are the applications of imaging in Microwave and Infrared
band?
04
(c) List out various applications of digital images. 07
Q.2 (a) Show Euclidian distance with an example. 03
(b) Define 4- connectivity, 8-connectivity and m-connectivity with an
example.
04
(c) Consider the following 4 bit 4x4 image segment and perform the
low pass filtering using 3x3 average mask. Also discuss what
changes will happen to the image. Consider all border pixels are
padded with intensity value 1.
[
1 1 7 2
2 10 3 10
5 12 4 11
4 2 10 15
]
07
OR
(c) Explain Histogram equalization with its importance in image
processing.
07
Q.3 (a) What is Power-Law transformation? What is its application? 03
(b) What is bit plane slicing? Elaborate. 04
(c) How do you perform filtering process in frequency domain? Show
step by step process with clear diagram.
07
OR
Q.3 (a) Briefly show the sampling process of digitization. 03
(b) Discuss arithmetic addition and subtraction operation on the
image.
04
(c) Explain Image degradation and restoration process. 07
Q.4 (a) How do you compare Image enhancement vs Image restoration? 03
(b) Derive laplacian operator for high pass filtering and show its
application.
04
(c) Discuss Gaussian, Rayleigh and Uniform noise. 07
OR
2
Q.4 (a) Define convolution and its purpose. 03
(b) How do you compute the Fourier Magnitude and Phase angle?
Also list its importance.
04
(c) How image restoration is performed in frequency domain?
Elaborate.
07
Q.5 (a) Define Segmentation. Also list out its applications. 03
(b) Highlight the differences between RGB and HIS color model. 04
(c) What is lossy image compression? Discuss any lossy compression
scheme.
07
OR
Q.5 (a) Briefly explain image segmentation by thresholding. 03
(b) Briefly discuss on color segmentation. 04
(c) Show edge detection with vertical and horizontal edge detection
filters with suitable example.
07
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This post was last modified on 20 February 2020