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
Enrolment No.__________
GUJARAT TECHNOLOGICAL UNIVERSITY
BE - SEMESTER- VII (New) EXAMINATION — WINTER 2019
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Subject Code: 2171712 Date: 30/11/2019Subject 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.
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| MARKS | ||
| Q.1 | (a) What is aliasing and moire pattern in digital image processing? | 03 |
| (b) Draw and Explain structure of human eye. | 04 | |
| (c) With proper block diagram explain key stages in digital image processing | 07 | |
| Q.2 | (a) What is redundancy in image? List different types of redundancies. | 03 |
| (b) Explain the power-law transformations. | 04 | |
| (c) Explain the concept of sampling and quantization in image processing. | 07 | |
| OR | ||
| (c) Briefly explain applications of image processing. | 07 | |
| Q.3 | (a) What is unsharp masking and high boost filtering for sharpening in frequency domain. | 03 |
| (b) Discuss image smoothing vs image sharpening. | 04 | |
| (c) Explain RGB and CMY color models, and their relationship. | 07 | |
| OR | ||
| Q.4 | (a) List out arithmetic operations between images and explain any one with example. | 03 |
| (b) How can one decide the quality of image using histogram? | 04 | |
| (c) Explain LZW coding technique for error free image compression. | 07 | |
| Q.4 | (a) Explain dilation morphological operations. | 03 |
| (b) Discuss the effect of gaussian low pass filter on image in frequency domain. | 04 | |
| (c) Explain Hough transform and its applications. | 07 | |
| OR | ||
| Q.5 | (a) Explain erosion morphological operations. | 03 |
| (b) Discuss the effect of butterworth low pass filter on image in frequency domain. | 04 | |
| (c) Discuss detection of points and lines in image. Include mask used for detection. | 07 | |
| Q.5 | (a) Compare performance of gradient operator and laplacian operator for edge detection. | 03 |
| (b) Explain image segmentation using region splitting and merging. | 04 | |
| (c) Explain Pseudo-color image processing. What is the application of pseudo-color image processing? | 07 | |
| OR | ||
| (a) Explain the concept of object recognition in image processing. | 03 | |
| (b) Explain Lossy compression and Lossless compression. | 04 | |
| (c) Explain HIT-or-MISS Transformation. | 07 |
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