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2003 Course Digital Image Processing

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Total No. of Questions : 12] [Total No. of Pages : 4 P1002 [3664]-227 B.E. (Electronics) DIGITAL IMAGE PROCESSING (404212) (2003 Course) Time : 3 Hours] [Max. Marks : 100 Instructions to the candidates : 1) Answer Q. No. 1 or Q. No. 2, Q. No. 3 or Q. No. 4, Q. No. 5 or Q. No. 6 from Section - I and Q. No. 7 or Q. No. 8, Q. No. 9 or Q. No. 10, Q. No. 11 or Q. No. 12 from Section - II. 2) Answers to the two sections should be written in separate books. 3) Neat diagrams must be drawn wherever necessary. 4) Figures to the right indicate full marks. 5) Assume suitable data, if necessary. 6) Use of logarithmic tables, slide rule, electronic pocket calculator is allowed. SECTION - I Q1) a) Draw and explain the block diagram of a digital image processing system. [8] b) Explain the steps taken to convert an analog image into digital one. [8] OR Q2) a) Explain the different ways of finding distance between two pixels. [6] b) Explain the reason for occurrence of false contouring & checkerboard patterns in an image. Suggest the techniques to avoid them. [8] c) Explain : i) Mean. ii) Standard deviation. Q3) a) Compute the 2D DFT of the 4 4 grayscale image given below : 1 1 f(m, n) = 1 1 [2] [8] 1 1 1 1 1 1 1 1 1 1 1 1 P.T.O. b ) Explain YIQ colour model. How a RGB model is converted to YIQ and vice versa? [8] OR Q4) a) Explain DCT and write expressions for forward and inverse 2D DCT of a signal f(m, n). [6] b) Explain CIE chromaticity diagram. Write expressions for i) chromaticity coordinates. ii) conversion of tristimulus values to RGB. iii) [10] conversion of RGB to tristimulus values. Q5) a) Perform histogram equalization on the image given below containing gray levels 0 to 7. [10] 4 3 3 3 4 4 4 4 4 4 5 4 3 5 5 5 3 4 5 4 3 4 4 4 4 Also draw the histograms before & after equalization. b) What is the value of the central pixel (marked by a round) if it is smoothened by a 3 3 box filter? [8] 1 2 3 2 3 4 5 4 3 OR Q6) a) Explain any 4 point processing techniques for enhancing an image with application of each. [10] b) Write a note on : i) High boost filtering. ii) [8] Unsharp masking. [3664]-227 -2- SECTION - II Q7) a) Explain Runlength coding. Which type of redundancy is exploited by RLC? Derive RLC codes considering a binary image. [8] b) Compute the entropy of the image given by f(m, n), where 0 0 f(m, n) = 0 1 1 0 0 1 2 2 1 2 3 2 2 3 [8] OR Q8) a) Calculate the efficiency of Huffman code for the following symbol whose probability of occurrence is given below : [8] Symbol g a1 a2 a3 a4 Probability g 0.9 0.06 0.02 0.02 b) State and explain various types of redundancies in an image. Suggest any one technique to remove these redundancies. [8] Q9) a) Explain algorithm for adaptive thresholding. [8] b) Derive the Kernel for second order derivative for detecting edges. Compare its performance with first order derivative. [8] OR Q10) a) Write a note on : i) Region splitting. ii) [8] Region merging. [3664]-227 -3- b ) A binary image X and the structuring element are given as follows : [8] 0 0 0 1 00 11 0 0 0 0 0 1 1 1 0 0 0 0 0 0 1 1 1 1 1 1 0 0 0 0 0 0 0 0 010 111 010 B X Perform i) Y1 = X B ii) Y2 = X B Q11) a) Explain Weiner filtering for image restoration. [8] b) Explain with the help of a neat block diagram, the steps to be taken for fingerprint recognition. [10] OR Q12) a) Write a note on Inverse filtering for image restoration. [8] b) Explain with the help of a neat block diagram, the steps to be taken for Remote sensing. [10] rrrr [3664]-227 -4-

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