B.E-B.E Computer Engineering DIGITAL IMAGE PROCESSING (Karunya University, Coimbatore-2012)
Saturday, 24 August 2013 12:52anudouglas
Karunya University
(Karunya Institute of Technology and Sciences)
(Declared as Deemed to be University under Sec.3 of the UGC Act, 1956)
End Semester Examination – November/ December - 2012
Subject Title: DIGITAL IMAGE PROCESSING Time: 3 hours
Subject Code: 09EC208 Maximum Marks: 100
Answer ALL questions
PART – A (10 x 1 = 10 MARKS)1. What is the major application of image processing in the visual spectrum?
2. Mention the two phenomena which demonstrate that perceived brightness is not a simple
function of intensity.
3. Name two devices that use the Power Law transformation for image enhancement.
4. How image zooming is achieved?
5. What type of degradation affects the image due to motion in image capturing?
6. What is Pseudo color image processing?
7. Define what is information preserving compression scheme.
8. What is the effect of image block size on the transform coding performance?
9. State the principle of edge linking based on local processing.
10. What is Multispectral thresholding?
PART – B (5 x 3 = 15 MARKS)
11. With an example, explain how to establish 8-connectivity and m- connectivity among the pixels in an image.
12. Define the Laplacian operator and explain the effect of this operator on the image.
13. Explain how the colors are represented using HSI color model.
14. Write the general procedure for Huffman coding algorithm.
15. Explain how an image is segmented using detection discontinuities.
PART – C (5 x 15 = 75 MARKS)
16. a. Explain the image acquisition using sensor arrays. (8)
b. Explain the application of convolution and correlation operations in image processing.
(7)
(OR)
17. a. Apply 2D DFT on the given sample image and compute transformed coefficients. (8)
b. Discuss the important properties of DFT in detail. (7)
18. Explain the image enhancement using
a. Histogram matching b. Directional smoothing c. Unsharp masking
(OR)
19. Discuss in detail the image smoothing and sharpening using Frequency domain filtering.
20. a. Describe the periodic noise reduction using frequency domain filtering. (7)
b. Compare the principle, merits and demerits of Wiener filtering with Inverse filtering. (8)
(OR)
21. Explain in detail the color image transformation, smoothing and sharpening of color images.
[P.T.O]
22. a. Explain the LZW encoding and decoding algorithms. (10)
b. Write the principle of Bit plane coding. (5)
(OR)
23. Explain in detail the Lossless and Lossy Predictive coding techniques.
24. What is the need for edge linking process? Discuss the local and global techniques used for edge linking.
(OR)
25. a. Explain the global and Adaptive thresholding techniques used for image segmentation.
(7)
b. Explain the principle of region based image segmentation. Analyze its performance. (8)
| Earning: ₹ 5.50/- |
