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2003 Course Digital Image Processing

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Total No. of Questions : 12] [Total No. of Pages :3 [3864] - 274 B.E. (E & TC) DIGITAL IMAGE PROCESSING (2003 Course) P1155 Time : 3 Hours] [Max. Marks : 100 Instructions to the candidates: 1) 2) 3) 4) Answers to the two sections should be written in separate books. Neat diagrams must be drawn wherever necessary. Figures to the right indicate full marks. Assume suitable data, if required. SECTION - I Q1) a) b) c) Q2) a) b) c) Q3) a) b) Explain simultaneous contrast effect. Distinguish between mask processing and point processing. In case of BMP image file explain the purpose of color table or color palette in the file header. [18] OR Explain Mach band effect. What is salt & pepper noise? How we can remove it. Explain the types of pixel adjacency observed in an image. [18] Explain how arithmetic and logic operations can be used for image Enhancement. [8] For the 5 X 5 image matrix given, find the output of. i) 3 X 3 mean filter. ii) 3 X 3 median filter. iii) 3 X 3 Laplacian filter at the center (circled) location. 3 2 4 3 5 7 4 7 0 7 6 6 (2) 6 5 2 1 5 2 1 [8] 0 1 4 1 2 P.T.O. Q4) a) b) Q5) a) b) OR Explain power law transformation. What is the effect of this transformations on contrast of the image. [8] What is unsharp masking. State its application. [8] Give forward and inverse transform equations, properties and applications of two dimensional DCT. [8] Calculate IDCT of the given 2 X 2, DCT coefficient matrix. Show that DCT transform preserves signal energy. [8] 2 DCT matrix = 0 0 0 OR Q6) a) b) Explain edge base segmentation of color image. [8] Give properties of KL transform. What are the applications of KL transform. [8] SECTION - II Q7) a) b) Q8) a) b) Q9) a) b) Q10)a) b) Define compression ratio. Explain how we can achieve image compression using run length coding. [8] Explain baseline JPEG compression technique. [8] OR Describe the type of redundancies observed in an image. How we remove these redundancies to achieve compression. [8] Explain bit plane coding. [8] What is Hough transform. How it can be used for Boundary representation. [8] Discuss the use of Laplacian mask for image segmentation. [8] OR With suitable example, explain how chain code can be used for boundary representation. How we can make this code starting point invariant? [8] Explain morphological Thinning operation. [8] [3864] - 274 -2- Q11)Write short notes on: [18] a) Image fidelity criteria. b) Image acquisition devices. OR Q12)a)Explain methods of estimating degradation function for image restoration. [9] b) Explain character recognition using image processing. ***** [3864] - 274 -3- [9]

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