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Seventh Semester B.E. Degree Examination, Dec.2013/Jan.2ol4
lmage Processing
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With a neat block diagram, describe various components used in general purpose imageprocessing system. (08 Marks)
Briefly.explain the principle of image formation in Human eye. (08 Marks)Let p dnd q be the pixels at coordinates (5, 5) and (10, 15) respectively. Find out whichdistance',,rneasure gives the minimum distance between the pixels.. . " ,,, (04 Marks)
Explain the pfbeess of image sampling and quantization in arq;lallmage formationlro rvru.t r;
Explain: i) False contouring. iil Checkerboard pattern. (05 Marks)Consider the image se€m€nt shown in Fig.Q2(c). Let V : {2, 3,4}, compute the length ofshortest 4-, 8- and m- path between p and q. If any particular path does not exist between
Note: Answer FIVEfull questions, selectingat least TWO questionsfrom each part.
PART _ A
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these two points, explain
3 a. Consider a2 x 2transform matrix A and the image U. given below:
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Calculate the transformed image V and the basis images. Check the image U using basisimages and transformed image V. (10 Marks)Define Haar,transform. Find Haar matrix for N : 8 and explain how it is constructed. Stateits propertids. (10 Marks)
Explaiuthe importance of discrete cosine transform with its equations and properties.
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1r,,, (08 Marks)Write a short note on KL transform. : (06 Marks)Prove that Hadamard transform is a fast transform. (06 Marks)
.PART-B . ii
Consider 8-level grey scale image of size 8 x 8 shown in Fig.Q5(a). Show histogram of t]leimage. Compute equalized hist and display graphically. t"*u*"'"'
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5 b. Using the second derivative, develop a Laplacian mask for image sharpening. (06 Marks)
c. Exptrain in brief any point processing technique implemented in image processing. (04 Marks)
6 a. Discuss the characteristics of high boost filter for both frequency and spatial domain.
Explain how high boost filtering increases the enhancement of the image..:=
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Wilh the help of block diagram, explain homomorphic filters for image enhancemerl-. _ '
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tain different image degradation models. flh* (06 Marhsltll ull.l9r9lrt llilaBE us$r4Lr4Lrull lll\r\rvrr. *qf\ " \""in in brief, the inverse filtering approach and its limitations. .E#ft6in how the
lirfri*l&ns can be overcome using Wiener filtering. (10 Marks)
c. WhdSffifu order statistics filter? Explain any one such filter. . fu (04 Marks)
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\"", .*d38 a. Explain thffi}{pwing color models: .ffi\#
i) RG_B co6*:$del *wii) HSI color nio@= ,..t - (10 Marks)
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b. Write steps involve=?Ifuonverting colors from HSI to,,$GB. (05 Marks)
c. Explain pseudo color @ge processing in brief. ;.- '' (05 Marks)='*,* *#-J**{ffiuw'
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