Total No. of Questions 18] [Total No. of Pages 02
M.Sc. DEGREE EXAMINATION, MAY 2018
Second Year
COMPUTER SCIENCE
Image Processing
Time 3 Hours Maximum Marks 70
SECTION A
Answer any three questions × 15 45)
Q1) What are the various fundamental steps in digital image processing? Explain
Obtain the Haar transformation matrix for N =8.
Q2) Explain the use of histogram statistics for image enhancement.
Q3) Draw the functional block diagram of general image compression system and explain it.
Q4) Explain about image restoration using inverse filtering and give the draw backs of this
method.
Q5) What are the different applications of image segmentation? Explain different image
segmentation techniques.
SECTION B
Answer any five questions from the following × 4 20)
Q6) What is meant by spatial resolution and explain its significance.
Q7) Illustrate first and second derivatives of a 1 digital function representing a section of
horizontal intensity profile from an image.
Q8) What is log transformation? How it is useful in image processing?
Q9) Write the difference between wavelet transform and Fourier transform.
Q10) Explain the effect of noise on edge detection.
Q11) Compare 'Homomorphic' and 'Inverse' Filtering. How do noise affect color channels?
Q12) Explain Huffman coding with example.
Q13) Briefly explain about region based segmentation.
SECTION C
Answer all questions × 1
Q14) What is lossless compression?
Q15) Define Hough transform.
Q16) What is the concept of histogram equalization?
Q17) Define erosion and dilation operations.
Q18) Define image degradation.