Download GTU (Gujarat Technological University) BE/BTech (Bachelor of Engineering / Bachelor of Technology) 2018 Winter 8th Sem New 2181102 Fundamental Of Image Processing Previous Question Paper
Seat No.: ________ Enrolment No.___________
GUJARAT TECHNOLOGICAL UNIVERSITY
BE - SEMESTER ?VIII (NEW) EXAMINATION ? WINTER 2018
Subject Code: 2181102 Date: 15/11/2018
Subject Name: Fundamental Of Image Processing
Time: 02:30 PM TO 05:00 PM Total Marks: 70
Instructions:
1. Attempt all questions.
2. Make suitable assumptions wherever necessary.
3. Figures to the right indicate full marks.
MARKS
Q.1 (a) Which parameter is responsible for low resolution of digital image?
Justify your answer.
03
(b) Monochrome image is having dimension of 3x2 sq. inch and resolution
of 300 dpi. What is the memory required to store this image without
compression?
04
(c) Explain matrix representation of digital image. Write equation to find
out number of bits required to store digital image. Find storage
requirements in Kbyte for the following images.
(1) Size 512x512, 8 bits/pixel
(2) Size 800x600, 512 gray levels
(3) Size 1024x768, color image 24 bits/pixel
07
Q.2 (a) An object 15 cm wide imaged with sensor of size 8.8x6.6 mm from
distance of 70 cm. what should be required focal length?
03
(b) Explain components of human visual system. 04
(c) Explain process of up sampling and down sampling with suitable
example with reference to digital image interpolation.
07
OR
(c) What is difference between contrast stretching and histogram
equalization? Explain how to obtain histogram of given digital image
and histogram equalization algorithm.
07
Q.3 (a) What is relative data redundancy R and compression ratio C? What is
the mathematical relationship between R and C?
03
(b) What type of data redundancies that can be identified and exploited for
digital image compression purpose?
04
(c) Explain importance of digital image compression. What digital image
compression algorithm used in JPEG & JPEG-2000 standard? Explain
any one digital image compression standard.
07
OR
Q.3 (a) What are the reasons for false contouring in digital images? 03
(b) Gray level Image is quantized with 8 bit. Part of this image 4x4 is given
below. Find out negative image of this 4x4 part.
?
?
?
?
?
?
?
?
?
?
?
?
0 255 255 0
30 100 100 30
75 25 25 75
150 100 100 150
04
(c) What is the requirement of frequency domain filtering? 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
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1
Seat No.: ________ Enrolment No.___________
GUJARAT TECHNOLOGICAL UNIVERSITY
BE - SEMESTER ?VIII (NEW) EXAMINATION ? WINTER 2018
Subject Code: 2181102 Date: 15/11/2018
Subject Name: Fundamental Of Image Processing
Time: 02:30 PM TO 05:00 PM Total Marks: 70
Instructions:
1. Attempt all questions.
2. Make suitable assumptions wherever necessary.
3. Figures to the right indicate full marks.
MARKS
Q.1 (a) Which parameter is responsible for low resolution of digital image?
Justify your answer.
03
(b) Monochrome image is having dimension of 3x2 sq. inch and resolution
of 300 dpi. What is the memory required to store this image without
compression?
04
(c) Explain matrix representation of digital image. Write equation to find
out number of bits required to store digital image. Find storage
requirements in Kbyte for the following images.
(1) Size 512x512, 8 bits/pixel
(2) Size 800x600, 512 gray levels
(3) Size 1024x768, color image 24 bits/pixel
07
Q.2 (a) An object 15 cm wide imaged with sensor of size 8.8x6.6 mm from
distance of 70 cm. what should be required focal length?
03
(b) Explain components of human visual system. 04
(c) Explain process of up sampling and down sampling with suitable
example with reference to digital image interpolation.
07
OR
(c) What is difference between contrast stretching and histogram
equalization? Explain how to obtain histogram of given digital image
and histogram equalization algorithm.
07
Q.3 (a) What is relative data redundancy R and compression ratio C? What is
the mathematical relationship between R and C?
03
(b) What type of data redundancies that can be identified and exploited for
digital image compression purpose?
04
(c) Explain importance of digital image compression. What digital image
compression algorithm used in JPEG & JPEG-2000 standard? Explain
any one digital image compression standard.
07
OR
Q.3 (a) What are the reasons for false contouring in digital images? 03
(b) Gray level Image is quantized with 8 bit. Part of this image 4x4 is given
below. Find out negative image of this 4x4 part.
?
?
?
?
?
?
?
?
?
?
?
?
0 255 255 0
30 100 100 30
75 25 25 75
150 100 100 150
04
(c) What is the requirement of frequency domain filtering? 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
2
Q.4 (a) Explain the term ?Safe web colors?. 03
(b) Explain power-law transformation and its application for image
processing.
04
(c) Explain Canny edge detection algorithm. Why Canny Edge detector
performance is superior compared to other edge detection techniques?
07
OR
Q.4 (a) What are the reasons for image degradation? 03
(b) Explain image degradation and restoration model with diagram. 04
(c) Explain optimum global thresholding using Otsu?s method for image
segmentation.
07
Q.5 (a) Explain pseudo color image processing 03
(b) Explain conversion from HSI to RGB color model. 04
(c) What is importance of morphological image processing? Explain
process of Erosion and Dilation with example and mathematical
equations.
07
OR
Q.5 (a) What is the difference between arithmetic mean filter and geometric
mean filter?
03
(b) Express affine matrix for rotation and translation operations. 04
(c) In following digital image, there are different objects like circles,
rectangles, squares, dots and other perturbations. We would like to have
only circles in output digital image. Explain suitable image processing
technique for this task. Explain this technique with mathematical
equations.
07
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This post was last modified on 20 February 2020