Exam Details
| Subject | digital image processing | |
| Paper | ||
| Exam / Course | computer science and engineering | |
| Department | ||
| Organization | Vardhaman College Of Engineering | |
| Position | ||
| Exam Date | June, 2017 | |
| City, State | telangana, hyderabad |
Question Paper
Hall Ticket No:
Question Paper Code B3251
(AUTONOMOUS) M. Tech I Semester Supplementary Examinations, June 2017
(Regulations: VCE-R15) DIGITAL IMAGE PROCESSING
(Computer Science and Engineering) Date: 14 June, 2017 AN
Time: 3 hours
Max Marks: 70
Answer any FIVE Questions
Each Question carries equal marks
1.
Explain the components used in digital image processing system.
7M
Explain the concept of image sampling and quantization.
7M
2.
Define 2D-Fourier Transform and its inverse. State and prove any three properties of 2D-Fourier Transform.
7M
Briefly explain about the role of Hadamard transform used in digital image processing.
7M
3.
Explain Histogram specification/matching process with a suitable example.
7M
Describe the basic steps in enhancement in frequency domain. Explain image smoothing process in frequency domain.
7M
4.
Discuss about algebraic approach to image restoration.
7M
Explain in detail LMS filtering process used in digital image restoration in frequency domain.
7M
5.
Explain point, line and edge detection.
7M
Explain about region splitting and merging.
7M
6.
Explain Huffman encoding process with an example. Mention its limitations.
7M
Explain LZW encoding of digital image using a suitable example. What are its limitations?
7M
7.
Contrast full color and pseudo color image processing. Discuss about color fundamentals.
7M
Briefly explain about color smoothing and sharpening process.
7M
8.
Explain about boundary extraction and region filling algorithms in detail.
7M
Explain about the basic morphological operations.
7M
Question Paper Code B3251
(AUTONOMOUS) M. Tech I Semester Supplementary Examinations, June 2017
(Regulations: VCE-R15) DIGITAL IMAGE PROCESSING
(Computer Science and Engineering) Date: 14 June, 2017 AN
Time: 3 hours
Max Marks: 70
Answer any FIVE Questions
Each Question carries equal marks
1.
Explain the components used in digital image processing system.
7M
Explain the concept of image sampling and quantization.
7M
2.
Define 2D-Fourier Transform and its inverse. State and prove any three properties of 2D-Fourier Transform.
7M
Briefly explain about the role of Hadamard transform used in digital image processing.
7M
3.
Explain Histogram specification/matching process with a suitable example.
7M
Describe the basic steps in enhancement in frequency domain. Explain image smoothing process in frequency domain.
7M
4.
Discuss about algebraic approach to image restoration.
7M
Explain in detail LMS filtering process used in digital image restoration in frequency domain.
7M
5.
Explain point, line and edge detection.
7M
Explain about region splitting and merging.
7M
6.
Explain Huffman encoding process with an example. Mention its limitations.
7M
Explain LZW encoding of digital image using a suitable example. What are its limitations?
7M
7.
Contrast full color and pseudo color image processing. Discuss about color fundamentals.
7M
Briefly explain about color smoothing and sharpening process.
7M
8.
Explain about boundary extraction and region filling algorithms in detail.
7M
Explain about the basic morphological operations.
7M
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