Exam Details
| Subject | digital 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)
DIGITAL IMAGE PROCESSING
(Electronics and Communication Engineering)
Date: 28 May, 2018 AN Time: 3 hours Max Marks: 75
Answer ONE question from each Unit
All Questions Carry Equal Marks
Unit I
1. Explain the fundamental steps of Digital Image Processing in detail. 10M
Define 4-adjacency and 8-adjacency.
5M
2. Briefly discuss the concept of image acquisition using a single sensor. 6M
Solve the lengths of the shortest 8 and m-path between p and q. For the image
segment given below, let .
9M
Unit II
3. Define the two dimensional DFT and explain any two properties. 8M
Define Cosine Transform with relevant expressions and list out any three properties of
Cosine Transform.
7M
4. Illustrate the working and definition of Hadamard Transform with relevant expressions.
List out any Three properties of Hadamard Transform.
8M
Define Haar transform with relevant expressions and list out the various properties of
Haar transform.
7M
Unit III
5. Define histogram. Write the procedure to perform histogram equalization. 7M
Write a short note on following:
i. Image negative
ii. Power law transformation
8M
6. Discuss the concept of smoothing filter in detail. 7M
With the help of diagram, derive the expression for homomorphic filtering.
8M
Unit IV
7. Define Noise in an Image. Explain the any four type of noise models encounter during
image processing.
9M
Define the following:
i. High Boost filtering
ii. Unsharp masking
6M
8. Explain with relevant equations the working of minimum mean square error filtering. 7M
Define pseudo color image processing. Illustrate the role of Intensity slicing and illustrate
how a gray level image can be converted into color image by intensity slicing technique
with relevant figure and example.
8M
Unit V
9. Write the functional block diagram of a general image compression system and explain. 7M
Describe region growing, splitting and merging techniques.
8M
10. Describe LZW coding and Arithmetic coding techniques used in compression. 8M
Write the functional block diagram of a general image compression system and explain. 7M
B. Tech VII Semester Supplementary Examinations, May 2018
(Regulations: VCE-R11/R11A)
DIGITAL IMAGE PROCESSING
(Electronics and Communication Engineering)
Date: 28 May, 2018 AN Time: 3 hours Max Marks: 75
Answer ONE question from each Unit
All Questions Carry Equal Marks
Unit I
1. Explain the fundamental steps of Digital Image Processing in detail. 10M
Define 4-adjacency and 8-adjacency.
5M
2. Briefly discuss the concept of image acquisition using a single sensor. 6M
Solve the lengths of the shortest 8 and m-path between p and q. For the image
segment given below, let .
9M
Unit II
3. Define the two dimensional DFT and explain any two properties. 8M
Define Cosine Transform with relevant expressions and list out any three properties of
Cosine Transform.
7M
4. Illustrate the working and definition of Hadamard Transform with relevant expressions.
List out any Three properties of Hadamard Transform.
8M
Define Haar transform with relevant expressions and list out the various properties of
Haar transform.
7M
Unit III
5. Define histogram. Write the procedure to perform histogram equalization. 7M
Write a short note on following:
i. Image negative
ii. Power law transformation
8M
6. Discuss the concept of smoothing filter in detail. 7M
With the help of diagram, derive the expression for homomorphic filtering.
8M
Unit IV
7. Define Noise in an Image. Explain the any four type of noise models encounter during
image processing.
9M
Define the following:
i. High Boost filtering
ii. Unsharp masking
6M
8. Explain with relevant equations the working of minimum mean square error filtering. 7M
Define pseudo color image processing. Illustrate the role of Intensity slicing and illustrate
how a gray level image can be converted into color image by intensity slicing technique
with relevant figure and example.
8M
Unit V
9. Write the functional block diagram of a general image compression system and explain. 7M
Describe region growing, splitting and merging techniques.
8M
10. Describe LZW coding and Arithmetic coding techniques used in compression. 8M
Write the functional block diagram of a general image compression system and explain. 7M
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