Ph.D. Course Work Examination June July 2017
COMPUTER SCIENCE Paper III and Paper IV
Digital Image Processing
Day Date: Friday, 30-06-2017 Max. Marks: 100
Time: 11.00 AM to 02.00 PM
Instructions: All questions are compulsory.
Q.1 Define sampling and quantization of an image. Explain the steps
involved in Histogram equalization.
10
Obtain the filtered image for the following image using 3x3
neighborhood averaging, assuming zero padding.
10
Q.2 What are the difference between image restoration and image
enhancement? Explain their common factors.
10
A blur filter is given by 10
Obtain the deblur filter by using inverse filter approach.
Q.3 What is image compression? Explain error-free compression. 10
For the image given below, compute the degree of compression
that can be achieved by using Huffman coding of find values.
10
Q.4 Explain the 'fidelity criterion' for lossy image compression and
transform based image compression technique.
10
The original and the reconstructed image are given below. Calculate
the Peak Signal-to-Noise Ratio (PSNR) expressed in decibel.
10
Q.5 Write short notes on any two of the following: 20
Hit-or-Miss transformation
Segmentation Based on Morphological Watersheds
Regional and Boundary Descriptors