IMAGE PROCESSING [ELECTIVES] MAY 2013 ELECTRONICS AND TELECOMMUNICATION SEMESTER 8
Con. 9068-13. (REVISED COURSE) GS-3901
(3 Hours) [Total Marks : 100]
N.B. (1) Question No. 1 is Compulsory.
(2) Attempt any four questions out of remaining six questions.
(3) Assume suitable data wherever necessary.
| 1. (a) | Is there any advantage of frequency domian filters over special filters ? Why ? | 5 |
| (b) | Compare Canny edge detector with Laplacian of Gaussian Gaussian edge detector. | 5 |
| (c) | Why is zig-zig scanning preferred in JPEG standard. | 5 |
| (d) | Distinguish between lossy and lossless compression. | 5 |
2. (a) | Explain image sampling and quantisation. A medical image has a size of 8 x 8 inches. | 10 |
| The sampling resolution is 5 cycles/mm. How many pixels are required ? Will and | ||
| image of size 256 x 256 be enough. | ||
| (b) | Let V = {0, 1}. Compute De, D4, D8 and Dm distances between two pixels p and | 10 |
| q . Let the pixel coordinates of p and q be (3, 0) and (2, 3) respectively for the image | ||
shown. Find distance measures. | ||
3. (a) | Compute 2-D DFT of 4 x 4 gray scale image given below and then compute inverse | 10 |
2- D DFT of transform coefficient. | ||
| (b) | Explain with example how Slant transform and DCT transform of (4 x 4) image | 10 |
| can be used for image compression. | ||
4. (a) | For a given image find - | 10 |
| (i) Digital negative of an image. | ||
| (ii) Contrast stretching r2 = 5, r1 = 3, s2 = 6, s1 = 2 | ||
(iii) Bit plane slicing. | ||
| (b) | Explain image enhancement in frequency domain. | 10 |
5. (a) | Perform histogram equalization for 8 x 8 image shown in table. | 10 |
Image gray level distribution | ||
| (b) | Explain segmentation based on discontinuity and segmentation based on similarities. | 10 |
6. (a) | Calculate entropy and coding redundancy for the symbols given in table using Huffman | 10 |
codes. | ||
| (b) | What is difference between image enhancement and image restoration ? | 5 |
| (c) | Explain modeling the degradation function in image restoration. | 5 |
7. | Write short notes on any two :- | |
| (a) Wiener Filtering | 10 | |
| (b) Hotellig Transform | 10 | |
| (c) Homomorphic filter. | 10 |
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