Pune University BE Exam Paper Digital Image Processing

B.E. (E & TC) DIGITAL IMAGE PROCESSING (2008 Pattern) (Sem. – I) (Elective – I)

Time :3 Hours]                                                                           [Max. Marks :100

Instructions to the candidates:-

1)            Answers to the two sections should be written in separate books.

2)            Neat diagrams must be drawn wherever necessary.

3)             Figures to the right indicate full marks.

4)            Assume suitable data, if necessary.

SECTION – I

QI) a) Explain briefly.                                                                                                           [8]

i) Weber ratio         ii) Mach band effect

i)    Contrast sensitivity       iv) Semultaneous contrast

b) Explain spatial resolution 8 gray level resolution in case of digital image. [8]

OR

Q2) a) Explain 4 connectivity, 8 connectivity, m connectivity with reference to relation between pixels? Where is the concept of connectivity used in I.P.?                         [8]

b) Explain in detail MTF for human vision.                                                           [8]

Q3) a) Briefly explain following image enhancement method indicating their typical applecation area.                                                                                                                       [9]

i)              contrast stretching

ii)           medium filtering

iii)         unsharp marking

b) What is color model? Explain HSI to RGB conversion.                                                                            [9]

OR

Q4)

a)

Discuss image enhancement in – frequency domain.

2[9]

 

b)

Discuss various pseudocoloring techniques used for image enhancement. Give their application. [9]

Q5)

a)

What is KL transform? Discuss its properties 8 application.

[8]

 

b)

Compare DFT 8 DCT

OR

[8]

Q6)

a)

What is DCT? Explain the different properties of DCT.

[8]

 

b)

With reference to 2D transform explain

i) Basis image ii) Symmetry

iii) Separability iv) Energy compaction

[8]

SECTION – II

 

 

Q7) a) Draw 8 explain image compression model block diagram in detail. [8] b) Compare predective coding 8 transform coding for image compression. [8]

OR

Q8) a) Discuss redundancies observed in an image. How we can exploit these redundancies for image compression.                                                                                           [8]

b) With a suitable example. Explain Arithmetic coding.                                    [8]

Q9) a) Explain Laplacian edge detector. Explain why LOG mark is preferred over Laplacian for edge detection.                                                                                                    [8]

b) What is image thresholding explain local global and adaptive thresholding.      [8]

OR

QI0) a) Write a note on dilation 8 erosion? State applecation for both. [8] b) Write a short note on chain code.                                                                                                       [8]

QII) a) Write a note on Gaussian low pass filtering for images.                        [9]

b) Discuss applecation of image processing for biometric security system. [9]

OR

Q12) Write short notes on :                                                                                    [18]

a)         Image Degradative model.

b)        Restoration in image processing

c)         Fingerprint Recognition.

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