GUJARAT TECHNOLOGICAL UNIVERSITY
BE - SEMESTER-VIII (NEW) EXAMINATION — WINTER 2018
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Subject Code: 2181102 Date: 15/11/2018Subject Name: Fundamental Of Image Processing
Time: 02:30 PM TO 05:00 PM Total Marks: 70
Instructions:
- Attempt all questions.
- Make suitable assumptions wherever necessary.
- Figures to the right indicate full marks.
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MARKS
Q.1 (a) Which parameter is responsible for low resolution of digital image? 03
Justify your answer.
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(b) Monochrome image is having dimension of 3x2 sq. inch and resolution 04
of 300 dpi. What is the memory required to store this image without
compression?
(c) Explain matrix representation of digital image. Write equation to find 07
out number of bits required to store digital image. Find storage
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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
Q.2 (a) An object 15 cm wide imaged with sensor of size 8.8x6.6 mm from 03
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distance of 70 cm. what should be required focal length?(b) Explain components of human visual system. 04
(c) Explain process of up sampling and down sampling with suitable 07
example with reference to digital image interpolation.
OR
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(c) What is difference between contrast stretching and histogram 07
equalization? Explain how to obtain histogram of given digital image
and histogram equalization algorithm.
Q.3 (a) What is relative data redundancy R and compression ratio C? What is 03
the mathematical relationship between R and C?
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(b) What type of data redundancies that can be identified and exploited for 04
digital image compression purpose?
(c) Explain importance of digital image compression. What digital image 07
compression algorithm used in JPEG & JPEG-2000 standard? Explain
any one digital image compression standard.
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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 04
below. Find out negative image of this 4x4 part.
150 100 100 150
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75 25 25 7530 100 100 30
0 255 255 0
(c) What is the requirement of frequency domain filtering? Write 3x3 mask 07
for low pass filtering in spatial domain and draw image of mask used for
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ideal low pass filtering in frequency domain.Q.4 (a) Explain the term. 03
(b) Explain power-law transformation and its application for image 04
processing.
(c) Explain Canny edge detection algorithm. Why Canny Edge detector 07
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performance is superior compared to other edge detection techniques?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 07
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segmentation.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 07
process of Erosion and Dilation with example and mathematical
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equations.OR
Q.5 (a) What is the difference between arithmetic mean filter and geometric 03
mean filter?
(b) Express affine matrix for rotation and translation operations. 04
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(c) In following digital image, there are different objects like circles, 07
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.
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