GTU BE/B.Tech 2019 Winter Question Papers || Gujarat Technological University
Subject Name: Image Processing
Time: 10:30 AM TO 01:00 PM Total Marks: 70
GUJARAT TECHNOLOGICAL UNIVERSITY
BE - SEMESTER- VII (New) EXAMINATION — WINTER 2019
--- Content provided by FirstRanker.com ---
Subject Code: 2170712 Date: 03/12/2019Subject Name: Image Processing
Time: 10:30 AM TO 01:00 PM Total Marks: 70
Instructions:
- Attempt all questions.
- Make suitable assumptions wherever necessary.
- Figures to the right indicate full marks.
--- Content provided by FirstRanker.com ---
| MARKS | |
|---|---|
| Q.1 | |
| (a) Define the terms: Sampling, Quantization, Resolution | 03 |
| (b) Explain median filter with suitable data. | 04 |
| (c) Discuss the application of various types of waves in EM spectrum | 07 |
| Q.2 | |
| (a) Compare and contrast low pass vs. high pass spatial filtering | 03 |
| (b) Perform histogram equalization on following 4-bit image data: | 04 |
| Level Number of Pixels | 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 0 5 10 6 4 20 5 30 0 0 0 10 0 5 5 |
| (c) Write a short note on Gray level slicing and Bit plane slicing | 07 |
| OR | |
| (c) Explain the working of adaptive median filter | 07 |
| Q.3 | |
| (a) Explain with applications: Log transformation, Power law transformation | 03 |
| (b) Explain average filter and also list its limitations. How to overcome the limitations of average filter. | 04 |
| (c) Differentiate: 1). Average vs. Median filter, 2). Gradient vs. Laplacian | 07 |
| OR | |
| Q.3 | |
| (a) Write a short note on Butterworth low pass filter. | 03 |
| (b) Write a short note on: (A). Gaussian Noise, (B).Salt and Pepper Noise | 04 |
| (c) Discuss various high pass frequency domain filters. | 07 |
| Q.4 | |
| (a) Enlist various properties of Discrete Fourier Transform | 03 |
| (b) How gradient is useful to detect the discontinuity in image? | 04 |
| (c) Explain following procedure: Region splitting and region merging | 07 |
| OR | |
| Q.4 | |
| (a) Discuss Euclidean, city block and chess board distance with suitable examples. | 03 |
| (b) Compare and contrast: Lossless and lossy compression | 04 |
| (c) Apply Huffman coding to determine the code for following data: the probability of symbols {A, B, C, D, E, F, G, H} is {0.22, 0.20, 0.18, 0.15, 0.10, 0.08, 0.05, 0.02.} | 07 |
| Q.5 | |
| (a) Discuss RLE compression algorithm. | 03 |
| (b) Differentiate: Image enhancement vs. Image Restoration | 04 |
| (c) Write a note on Geometric mean and contra harmonic mean filters. | 07 |
| OR | |
| Q.5 | |
| (a) Discuss temporal redundancy in image. | 03 |
| (b) Write a short note on pseudo color image processing | 04 |
| (c) Explain: RGB and HIS color models | 07 |
--- Content provided by FirstRanker.com ---
This download link is referred from the post: GTU BE/B.Tech 2019 Winter Question Papers || Gujarat Technological University
--- Content provided by FirstRanker.com ---