Exam Details
| Subject | image processing | |
| Paper | ||
| Exam / Course | b.tech | |
| Department | ||
| Organization | Vardhaman College Of Engineering | |
| Position | ||
| Exam Date | May, 2018 | |
| City, State | telangana, hyderabad |
Question Paper
(AUTONOMOUS)
B. Tech VII Semester Supplementary Examinations, May 2018
(Regulations: VCE-R11/R11A)
IMAGE PROCESSING
(Computer Science and Engineering)
Date: 24 May, 2018 AN Time: 3 hours Max Marks: 75
Answer ONE question from each Unit
All Questions Carry Equal Marks
Unit I
1. Briefly describe the three principal sensor arrangements used to transform illumination
energy into digital images.
9M
Give the comparison among Discrete Fourier Transform and the Fast Fourier Transform.
6M
2. Explain two dimensional image formation model function of the form y). 8M
Briefly discuss the properties of the Hadamard Transform.
7M
Unit II
3. Explain different steps of filtering in the frequency domain. 8M
Compute the mean value and median value of the pixels of underlined numbers using 3
X 3 mask
18 22 33 25 32 24
34 128 24 172 26 23
22 19 32 31 28 26
7M
4. Explain briefly High pass filter. 7M
Suppose that a digital image is subjected to histogram equalization. The problem is the
following: Show that a second pass histogram equalization (on the histogram equalized
image) will produce exactly the same result as the first pass?
8M
Unit III
5. Explain the communication system model existing between user and source consisting of
encoder and decoder.
7M
Briefly discuss different binary image compression standards.
8M
6. What is run length and variable length coding? 8M
Illustrate the procedure of Improved Grayscale Quantization by taking an example.
7M
Unit IV
7. Explain different types of gray-level discontinuities identified in a digital image. 6M
Briefly discuss different types of points considered during segmentation by
morphological watersheds.
9M
8. Explain by means of an example, the parameter space. Based on this describe basic
principle of Hough Transform? How do you apply it to detect lines in an image?
6M
Briefly discuss two principal properties used for establishing similarity of edge pixels
during edge-point linking based on local processing.
9M
Unit V
9. Briefly discuss any four morphological algorithms. 7M
Write short notes on:
i. Noise in color image
ii. Color image compression
8M
10. Explain the concept of Thinning and Thickening morphological algorithm. 8M
Explain the concept of duality of Erosion and dilation in image processing. 7M
B. Tech VII Semester Supplementary Examinations, May 2018
(Regulations: VCE-R11/R11A)
IMAGE PROCESSING
(Computer Science and Engineering)
Date: 24 May, 2018 AN Time: 3 hours Max Marks: 75
Answer ONE question from each Unit
All Questions Carry Equal Marks
Unit I
1. Briefly describe the three principal sensor arrangements used to transform illumination
energy into digital images.
9M
Give the comparison among Discrete Fourier Transform and the Fast Fourier Transform.
6M
2. Explain two dimensional image formation model function of the form y). 8M
Briefly discuss the properties of the Hadamard Transform.
7M
Unit II
3. Explain different steps of filtering in the frequency domain. 8M
Compute the mean value and median value of the pixels of underlined numbers using 3
X 3 mask
18 22 33 25 32 24
34 128 24 172 26 23
22 19 32 31 28 26
7M
4. Explain briefly High pass filter. 7M
Suppose that a digital image is subjected to histogram equalization. The problem is the
following: Show that a second pass histogram equalization (on the histogram equalized
image) will produce exactly the same result as the first pass?
8M
Unit III
5. Explain the communication system model existing between user and source consisting of
encoder and decoder.
7M
Briefly discuss different binary image compression standards.
8M
6. What is run length and variable length coding? 8M
Illustrate the procedure of Improved Grayscale Quantization by taking an example.
7M
Unit IV
7. Explain different types of gray-level discontinuities identified in a digital image. 6M
Briefly discuss different types of points considered during segmentation by
morphological watersheds.
9M
8. Explain by means of an example, the parameter space. Based on this describe basic
principle of Hough Transform? How do you apply it to detect lines in an image?
6M
Briefly discuss two principal properties used for establishing similarity of edge pixels
during edge-point linking based on local processing.
9M
Unit V
9. Briefly discuss any four morphological algorithms. 7M
Write short notes on:
i. Noise in color image
ii. Color image compression
8M
10. Explain the concept of Thinning and Thickening morphological algorithm. 8M
Explain the concept of duality of Erosion and dilation in image processing. 7M
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