Download GTU (Gujarat Technological University) BE/BTech (Bachelor of Engineering / Bachelor of Technology) 2019 Summer 8th Sem Old 181102 Fundamentals Of Image Processing Previous Question Paper
Seat No.: ________ Enrolment No.___________
GUJARAT TECHNOLOGICAL UNIVERSITY
BE - SEMESTER ?VIII (OLD) EXAMINATION ? SUMMER 2019
Subject Code: 181102 Date: 15/05/2019
Subject Name:Fundamentals of 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) Explain limitations of human visual system with examples. When you enter in a
dark room on a bright day, it takes an appreciable interval of time before you can
see well enough to find your empty seat. Which visual process is responsible for
this situation?
07
(b) Explain sampling and quantization to generate digital image. How quality of
digital image depends on number of samples and number of bits used for
quantization?
07
Q.2 (a) What are the methods to enhance digital image to get more sharpness? Explain
any one method with implementation algorithm.
07
(b) Digital image captured by camera is having Salt and Peeper noise. Which digital
image processing method is suitable to remove Slat and Peeper noise? Explain
algorithm of suitable method for it.
07
OR
(b) Digital image captured by camera is having motion blur. Explain image
processing algorithm to minimize motion blur,
07
Q.3 (a)
What is histogram? Explain histogram equalization algorithm. Equalize following
histogram so that equalized image has all gray levels from 0 to 7.
Grey
level
0 1 2 3 4 5 6 7
No. of
pixels
50 40 60 50 0 0 0 0
07
(b) Explain difference between spatial domain filtering and frequency domain
filtering for digital image processing. Write 3x3 mask for low pass filtering in
spatial domain and draw image of mask used for ideal low pass filtering in
frequency domain.
07
OR
Q.3 (a) Suppose that a image is subjected to histogram equalization. Show that a second
pass of histogram equalization will produce exactly the same result as the first
pass with one example.
07
(b)
What is contrast stretching? Draw piece-wise linear input-output characteristics with
corner points (0,0) (50,50) (150,100) (200,200) and (255,255). Determine the output
for following input image.
40 110 120 160
80 220 240 80
0 255 255 0
225 175 225 175
07
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1
Seat No.: ________ Enrolment No.___________
GUJARAT TECHNOLOGICAL UNIVERSITY
BE - SEMESTER ?VIII (OLD) EXAMINATION ? SUMMER 2019
Subject Code: 181102 Date: 15/05/2019
Subject Name:Fundamentals of 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) Explain limitations of human visual system with examples. When you enter in a
dark room on a bright day, it takes an appreciable interval of time before you can
see well enough to find your empty seat. Which visual process is responsible for
this situation?
07
(b) Explain sampling and quantization to generate digital image. How quality of
digital image depends on number of samples and number of bits used for
quantization?
07
Q.2 (a) What are the methods to enhance digital image to get more sharpness? Explain
any one method with implementation algorithm.
07
(b) Digital image captured by camera is having Salt and Peeper noise. Which digital
image processing method is suitable to remove Slat and Peeper noise? Explain
algorithm of suitable method for it.
07
OR
(b) Digital image captured by camera is having motion blur. Explain image
processing algorithm to minimize motion blur,
07
Q.3 (a)
What is histogram? Explain histogram equalization algorithm. Equalize following
histogram so that equalized image has all gray levels from 0 to 7.
Grey
level
0 1 2 3 4 5 6 7
No. of
pixels
50 40 60 50 0 0 0 0
07
(b) Explain difference between spatial domain filtering and frequency domain
filtering for digital image processing. Write 3x3 mask for low pass filtering in
spatial domain and draw image of mask used for ideal low pass filtering in
frequency domain.
07
OR
Q.3 (a) Suppose that a image is subjected to histogram equalization. Show that a second
pass of histogram equalization will produce exactly the same result as the first
pass with one example.
07
(b)
What is contrast stretching? Draw piece-wise linear input-output characteristics with
corner points (0,0) (50,50) (150,100) (200,200) and (255,255). Determine the output
for following input image.
40 110 120 160
80 220 240 80
0 255 255 0
225 175 225 175
07
2
Q.4 (a) Explain need of digital image compression. Explain how digital image
compression is achieved with DCT followed by LZW coding.
07
(b) Explain importance of edge detection in image segmentation. Explain gradient
operators. Write Prewitt and Sobel edge detection mask.
07
OR
Q.4 (a) Explain edge linking with Hough transform. 07
(b) For which situation RGB and CMY color model is not suitable. Explain HSI
color model and conceptual relationship between HSI and RGB color model.
07
Q.5 (a) Explain different types of structuring elements used for erosion and dilation
morphological operations used for digital image processing. How a structure
element is chosen for morphological operations?
07
(b)
Explain algorithm for Midpoint filtering and Contra-harmonic filtering. Which filtering
performs better in presence of uniform noise?
07
OR
Q.5 (a) What is thresholding? Explain optimum global thresholding using Otsu?s
method for image segmentation.
07
(b) What is region growing with reference to digital image processing? Explain basic
region growing algorithm based on 8-connectivity.
07
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This post was last modified on 20 February 2020