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B.E-B.E Electronics and Tele-Communication Engineering Digital Image Processing(Sathyabama University, Chennai, Tamil Nadu-2010)

Friday, 23 August 2013 02:52Duraimani
SATHYABAMA UNIVERSITY
(Established under section 3 of UGC Act,1956)
Course & Branch :B.E - ETCE
Title of the Paper :Digital Image Processing         Max. Marks :80
Sub. Code :525704/625704                                    Time : 3 Hours
Date :04/03/2010                                                    Session :AN
                                       PART - A                    (10 x 2 = 20)
                        Answer ALL the Questions
1.       Define simultaneous constrast.
2.     Define weber ratio.
3.     Give any two properties of 2D-fourier transform.
4.     Give the equation for discrete cosine transform.
5.     Define point processing.
6.     Give the difference between image enhancement and restoration.
7.     Give any 2 noise model with suitable equation and diagram.
8.     Draw the degradation model.
9.     Define brightness, hue, saturation.
10.   Give the equation to obtain H component of each RGB pixel.

PART – B                       (5 x 12 = 60)
Answer All the Questions
11.   Explain in detail how the continuous image can be converted into digital image using suitable technique.
(or)
12.   Explain elements of Digital image processing system in detail with suitable diagram.
13.   Explain the basic relationship between pixels.
(or)
14.   Explain the following transform and give its advantage over the other
                (a)    Slant transform
                (b)   Fast Fourier transform
                (c)    Hadamard transform
15.   Explain the following with suitable diagram.
                (a)    Image subtraction
                (b)   Image Averaging
                (c)    Constrast stretching
(or)
16.   Explain smoothing frequency domain filter in detail.
17.   Explain geometric transformation in detail with diagram.
(or)
18.   Explain the following filters with suitable equation.
                (a)    Band pass filter
                (b)   Notch filter
                (c)    Optimum notch filter
19.   Explain pseudo color image processing in detail with suitable diagram.
(or)
20.   Explain the use of motion in segmentation with suitable equations.
 

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