MU Information Technology (Semester 7)
Image Processing
May 2012
Total marks: --
Total time: --
INSTRUCTIONS
(1) Assume appropriate data and state your reasons
(2) Marks are given to the right of every question
(3) Draw neat diagrams wherever necessary


Attempt any four questions:-
1(a) Find the energy of the signal
5 M
1(b) Prove that two dimensional DFT matrix is an unitary matrix.
5 M
1(c) What do you understand by digital negative of an image?
5 M
1(d) Show that Highpass = Original - Lowpass.
5 M
1(e) Give five classifications for the system in Digital Signal Processing with examples.
5 M
1(f) Compare analog and digital filters.
5 M

2(a) Find convolution of the two sequences x(n)= {1,2,3,4}h(n)={1,-1}
4 M
2(b) Determine N point circular convolution
6 M
2(c) A particular digital image with 8 quantization level has following histogram. Perform the histogram equalization.
10 M

3(a) What is morphology? Name and explain the basic operations in morphology.
10 M
3(b) For the 3-bit 4X4 image perform the following operation:-
(i) Negative
(ii) Thresholding with T=4
(iii) Intensity level slicing with background r1=2 & r2 =5
(iv) bit-plane slicing for MSB & LSB
(v) Clipping with r1=2 & r2 =5
10 M

4(a) Design a Butterworth filter using Bilinear Transformation method with the following specification
Ap=3dB, As=15dB, ?p=0.5?, ?s=0.75?, Fs=1Hz.
10 M
4(b) Explain the method of segmentation using region splitting and merging.
10 M

5(a) Explain the following with examples:
(i) Thinning
(ii) Hit or miss transformation
10 M
5(b) Find 8 point DFT if x(n).
10 M

6(a) Differentiate between the following:
(i) Convolution Vs Correlation.
(ii) Bit- plane slicing Vs Grey level slicing.
(iii) Low pass filter Vs Median filter.
10 M
6(b) Write a note on DCT and its applications . Find DCT of the given 4x4 image.
10 M

Write short notes on (any four) :-
7(a) Digital Watermarking.
5 M
7(b) Biometrics Authentication.
5 M
7(c) Lossy Image Compression.
5 M
7(d) Content Based Image Retrieval (CBIR).
5 M
7(e) Text Compression.
5 M
7(f) Hadamard Transform.
5 M
7(g) Vector Quantization.
5 M



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