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BSc CS Sem 6 BSc CS Semester 6 (2018 2019) 2019 DIGITAL IMAGE PROCESSING Question Paper - Mumbai University | munotes

BSc CS Semester 6 (2018 2019) Question Paper.pdf
SEM 6 · BSc CS Semester 6 (2018-2019) · 269 KB · 1 May 2025

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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 (Each of 5Marks) (15M)
    • (a) Multiple Choice Questions: 1 The transition between continuous values of the image function and its digital equivalent is called
    • b) Sampling
    • d) None of the Mentioned 2 The mask shown in the figure below belongs to which type of filter?
    • b) Median filter 3 Hit-or-miss transformation is used for shape
    • a) Removal
    • b) Detection
    • c) Extraction
    • d) Hiding 4 Encoder is used for
    • a) image enhancement
    • b) image compression
    • c) image decompression
    • d) image equalization 5 Which of the following color model is used for color printing?
    • (b) Fill in the blanks: (s=clog10(1*r),Brightness, Dynamic range, Robert, 1 The range of values spanned by the gray scale is called range 2 Erosion followed by dilation is called 3 A gradient operator for edge detection is 4 The difference in intensity between the highest and the lowest intensity 5 is the general form of representation of log
    • (c) Short Answers: 1 What is the name of process used to correct the power-law response 2 The transformation s = T(r) producing a gray level s for each pixel value r of input image. Then, if the T(r) is satisfying T(r) <1 in what does it signifies? 3 What do you mean by the term pixel depth? 4 State True or False- Lossy Compression achieves greater compression 5 What do you mean image segmentation?
  4. Q2 Attempt the following (Any THREE)(Each of 5Marks) (15M)
    • (a) Write a short note on Sampling and Quantization
    • (b) The input matrix x(m,n) and h(m,n). Perform the linear convolution between these two matrices
    • (c) Differentiate between monochrome and grayscale image
    • (d) Discuss Haar Transform
    • (e) Give any five applications of image processing system
    • (f) Write a short note on KL transform Attempt the following (Any THREE) (Each of 5Marks) (15M)
    • (a) What is Structuring Element? Discuss its usage in morphological operation?
    • (b) Write a short note on Gray Level slicing
    • (c) Explain various techniques of image arithmetic
    • (d) Discuss opening and closing morphological operation
    • (e) Perform Histogram Equalization on Gray level distribution shown in the
    • (f) List and explain two types of classification of Color-Quantisation
  5. Q4 Attempt the following (Any THREE) (Each of 5Marks) 15 marks
    • (a) Obtain the Huffman code for the word
    • (b) Write a short note on Laplacian of Gaussian (LOG)
    • (c) Discuss how Arithmetic coding is used in image compression?
    • (d) Compare and contrast between inter pixel redundancy and coding
    • (e) How is thresholding used in image segmentation?
    • (f) Explain- Region Splitting and Merging
  6. Q5 Attempt the following (Any THREE) (Each of 5Marks) 15 marks
    • (a) Explain 2D Line Impulse signal in detail
    • (b) List and Explain limitations of the RGB Color Model
    • (c) Compare lossy and lossless image compression
    • (d) Explain Euclidean distance, City block distance, chess board distance
    • (e) Write a short note on Slant Transform

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