code no: r41043 digital image processing …€¦ · digital image processing ... differentiate the...

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IV B.Tech I Semester Supplementary Examinations, Feb/Mar - 2015

DIGITAL IMAGE PROCESSING

(Common to Electronics & Communication Engineering and Electronics & Computer

Engineering)

Time: 3 hours Max. Marks: 75

Answer any FIVE Questions

All Questions carry equal marks

*****

1 a) Define the terms sampling and quantization. What is their role in image quality

and size? [8]

b) Write a brief note about the components of image processing systems [7]

2 a) Explain how Fourier transforms are useful in digital image processing? [8]

b) What is meant by Enhancement by point processing? Explain. [7]

3 a) A binary image contains straight line oriented horizontally, vertically at 45 ,

and at -45 . Give a set of 3×3 masks that can be used to detect 1-pixel-long

breaks in these lines. Assume that the grey level of the lines is 1 and that the

gray level of the background is 0. [7]

b) Show that how Hough transform can be used to link edges. [8]

4 a) Discuss about thinning and boundary extraction in basic morphological

algorithms. [8]

b) What is the limiting effect of repeatedly dilating an image? Assume that a

trivial (one point) structuring element is not used. [7]

5 a) Compute the two-dimensional wavelet transform with respect to Haar wavelets

of the following 2×2 image. Draw the required filter bank and label all inputs

and outputs with the proper arrays. [8]

b) Explain classification of watermarks. [7]

6 a) What is meant by Luminance, brightness, Radiance & trichromatic

Coefficients. [7]

b) Explain the conversion from HSI to RGB color model. [8]

7 a) Define image restoration. Explain the operation of inverse filtering. [7]

b) Explain in detail Constrained Least Squares Filtering. [8]

8 a) Explain Convolution theorem. [6]

b) Explain about following smoothing frequency domain filters.

i) Low Pass Spatial Filtering ii) Median Filtering [9]

Code No: R41043 Set No. 1 R10

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Engineering)




*****

1 a) In a digital image of size 600X 450, if bits of memory is allocated per sample,

i) How many quantization levels are possible?

ii) What is the size of memory in kB?

[8]

b) What in meant by Moire patterns? What are the reasons for Occurrence of such

patterns?

[7]

2 a) Explain the properties of Fourier transform. [8]

b) Does the zero-crossing method for edge finding always result in edges that are

closed contours? Give reason.

[7]

3 a) Discuss in detail about threshold selection based on boundary characteristics. [7]

b) Discuss in detail about the procedure involved in Histogram matching.

[8]

4 a) What do you understand by erosion and dilation in morphological operation?

Explain in detail.

[8]

b) Discuss about gray scale morphology.

[7]

5 a) What is meant by image segmentation? Mention the applications of image

Segmentation.

[8]

b) Explain about detection of discontinuities.

[7]

6 a) What is meant by error tree compression? Explain the variable length coding. [8]

b) Draw the general compression system model & Explain?

[7]

7 a) Give the schematic sketch of R G B color cube? Indicate the primary color

vertices on the cube.

[8]

b) Describe how the gray levels vary in the R,G and B primary images that make up

the front face of the color cube.

[7]

8 a) Explain adaptive filter and also what the two levels of adaptive median filtering

algorithms are.

[8]

b) Differentiate constrained and unconstrained restoration. [7]


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Engineering)

Time : 3 hours Max. Marks: 75



*****

1 a) Define the terms i) 4-adjacent ii) 8-adjacent and iii) m-adjacent

Give suitable examples

[8]

b) Differentiate between uniform sampling & Non-uniform sampling?

[7]

2 a) Prove that for continuous signal Histogram equalization results in flat histogram. [7]

b) Differentiate the spatial image enhancement and image enhancement in

frequency domain?

[8]

3 a) Show that crispened image can be obtained by convolving it with the mask.

0 -1 0

-1 5 -1

0 -1 0

[7]

b) Explain in detail image averaging and image subtraction.

[8]

4 a) Explain about algebraic approach to image restoration. [8]

b) Explain with the block diagram lossless predictive coding.

[7]

5 a) Consider the following RGB Triplets. Convert each triplets to CMY and YIQ.

i) ( 0 1 0) ii) ( 1 1 0 ) iii) ( 1 0 1 )

[8]

b) How we can use morphology in coding redundancy?

[7]

6 a) Illustrate with suitable examples how gradient operators used for edge detection

of medical images.

[8]

b) Elaborate the process of dam construction along with watershed segmentation

algorithm.

[7]

7 a) Explain about skeletons and convex hull in detail. [8]

b) Briefly explain about image compression.

[7]

8 a) Under what circumstances is the DWT a better choice than the CWT ? Are there

times when the CWT is better than the DWT?

[8]

b) Explain the basic principles of KL transforms. What are its applications? [7]


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Engineering)




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1 a) Discuss a brief survey of image processing applications. [8]

b) Assume that a 15m high structure is observed from a distance of 75m. what is

the size of the retinal image.

[7]

2 a) What is meant by Histogram of an image? Sketch Histograms of basic image

types.

[8]

b) What are the various coding techniques for error-free compression and discuss

in detail Huff-man coding.

[7]

3 a) Explain about discrete wavelet transform of one variable and two variables. [8]

b) Write about image smoothing in frequency domain.

[7]

4 a) Explain the effect of diagonalization in the degradation model. [7]

b) Give the expression for pdf of the following and plot them

i) Gaussian noise. ii) Erlang noise. iii) Exponential noise

[8]

5 a) Explain about any three morphological algorithms. [8]

b) How a color image can be converted to gray scale image. Explain.

[7]

6 a) What are image pyramids? Explain about them. [8]

b) Explain about spatial filtering in frequency domain

[7]

7 a) Explain about Global Processing using Graph – Theoretic Techniques. [8]

b) Give a brief note about region-based segmentation

[7]

8 a) What is meant by morphology? Explain about Hit or Miss Operation. [7]

b) Explain about the CMY color model in detail. [8]


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