B.Sc. (Computer Science) Sem 6 Digital Image Processing 2022-23 Question Paper - Mumbai University | munotes

Questions asked in this paper

• 2) Figures to the right indicate marks

1. Q3 Illustrations, in-depth answers and diagrams will be appreciated
2. Q4 Mixing of sub-questions is not allowed
3. Q1 Attempt All
   • (a) Select the correct alternative from the options given: (10M)
   • (i) Which of the following transform is separable?
   • (ii) The photosensitive detector of the human eye is the
   • (a) Retina (b) Cornea
   • (c) Iris (d) Eyelens
   • (iii) Which of the following two values used by Walsh function
   • (a) (b) 2 or
   • (c) 1/ V2 or-1/v2 (d)
   • (iv) Increase the size of the mask results in of the image
   • (c) Improvement (d) Sharpening
   • (v) Erosion operation is used to remove the pixels
   • (a) Object (b) Background
   • (c) Foreground (d) Image
   • (vi) An image can be expanded by operation
   • (a) Zooming (b) Dilation
   • (c) Erosion (d) Subtraction
   • (vii) are memory less operations
   • (viii) | A gradient operator for edge detection is
   • (ix) Compressed image can be recovered back by
   • (x) Zigzag scan is employed in
   • (b) Fill in the blanks by selecting from the pool of options: (5M)
   • (i) Structuring element is a
   • (ii) Additive colour formation is employed in
   • (iii) X(n1,n2)=x(n1+N, n2) is equation used for sequence
4. Q2 the following (Any THREE) (15M)
   • (a) Describe the KL transform
   • (b) Perform the 2D linear cross correlation process on the following matrices
   • (c) Explain the image sampling and image quantization process
   • (d) List and explain the classification of the 2D system
   • (e) What are the applications of Digital Image Processing? (any five)
   • (f) Discuss Hadamard transform. Derive Hadamard matrix for N=8
5. Q3 Attempt the following (Any THREE) (15M)
   • (a) Discuss following colour models
   • i) CMYK model
   • (b) List different ways to obtain binary image using different enhancement technique. Explain any two of them
   • (c) Perform Histogram equalization on following matrix
   • (d) Describe the Alpha blending. Compare Alpha blending with image
   • (e) Explain Gaussian filter with reference to image enhancement
   • (f) Explain morphological operations on the binary image Discuss following colour models
   • i) CMYK model
6. Q4 Attempt the following (Any THREE) 15 marks
   • (a) Discuss the various algorithm used for edge linking through Heuristic
   • (b) Explain the region splitting and merging approach in Image Segmentation
   • (c) What is Partitional clustering? Compare K-means clustering and Fuzzy
   • (d) Generate the non binary Huffman code for the word ‘COMMITTEE’
   • (e) Write a note on Transform based compression
   • (f) Describe the classification of redundancy
7. Q5 Attempt the following (Any FIVE) 15 marks
   • (a) Write a note on Line Impulse sequence
   • (b) What is resolution? Explain two types of resolution
   • (c) Describe Negative transformation
   • (d) What is distance transform? Explain Euclidean distance
   • (e) Explain human perceptron of colour
   • (f) List various JPEG mode. Explain any two modes of it
   • (g) Draw and explain any three types of edges
   • (h) Discuss Laplacian of Gaussian

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