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Anna University , Chennai B.E./B.TECH DEGREE EXAMINATION , MAY/JUNE 2013 Seventh Semester Electronics and Communication Engineering EC 2029 / EC 708 – DIGITAL IMAGE PROCESSING (Regulation 2008) Time : Three hours Maximum : 100 marks Answer ALL questions PART A – (10 X 2 = 20 marks) 1. Define Optical illusion and Mach band. 2. Define checker board effect and false contouring. 3. Give the PDF of Gaussian noise and plot it. 4. Define and give the transfer function of contraharmonic filter. 5. Define image degradation model and sketch it. 6. Define rubber sheet transformation. 7. Write sobel horizontal and vertical edge detection masks. 8. Define region splitting and merging. 9. State the optimality conditions for Huffman code. 10. State the need for data compression. PART B – (5 X 16 = 80 marks) 11. (a) (i) Explain the basic concepts of sampling and quantization with neat sketch. (8) (ii) Find the DCT Transform and its inverse for the given 2X2 image [ 3 6 ; 6 4 ] (Or) (b) (i) Obtain forward KL transform for the given vectors. X1 = [ 1 0 0 ] ; X2 = [ 1 0 1 ] ; X3 = [ 1 1 0 ] (Transpose these vectors) and analyse how the principal components are used for remote sensing applications? 12. (a) Describe histogram equalization. Obtain histogram equalization for the following image segment of size 5 X 5. Write the interference on the image segment before and after equalization. www.studentsfocus.com
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Anna University , Chennai

B.E./B.TECH DEGREE EXAMINATION , MAY/JUNE 2013

Seventh Semester

Electronics and Communication Engineering

EC 2029 / EC 708 – DIGITAL IMAGE PROCESSING

(Regulation 2008)

Time : Three hours Maximum : 100 marks

PART A – (10 X 2 = 20 marks)

1. Define Optical illusion and Mach band.

2. Define checker board effect and false contouring.

3. Give the PDF of Gaussian noise and plot it.

4. Define and give the transfer function of contraharmonic filter.

5. Define image degradation model and sketch it.

6. Define rubber sheet transformation.

7. Write sobel horizontal and vertical edge detection masks.

8. Define region splitting and merging.

9. State the optimality conditions for Huffman code.

10. State the need for data compression.

PART B – (5 X 16 = 80 marks)

11. (a) (i) Explain the basic concepts of sampling and quantization with neat sketch. (8)

(ii) Find the DCT Transform and its inverse for the given 2X2 image [ 3 6 ; 6 4 ]

(Or)

(b) (i) Obtain forward KL transform for the given vectors.

X1 = [ 1 0 0 ] ; X2 = [ 1 0 1 ] ; X3 = [ 1 1 0 ] (Transpose these vectors) and

analyse how the principal components are used for remote sensing applications?

12. (a) Describe histogram equalization. Obtain histogram equalization for the following

image segment of size 5 X 5. Write the interference on the image segment before and

after equalization.

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20 20 20 18 16

15 15 16 18 15

15 15 19 15 17

16 17 19 18 16

20 18 17 20 15 (5 X 5) matrix (16)

(Or)

(b) (i) Describe how homomorphic filtering is used to separate illumination and

reflectance components? (8)

(ii) How mean filters are used for image enhancement. (8)

13. (a) Describe constrained least square filtering for image restoration and derive its

transfer function. (16)

(Or)

(b) (i) Explain the concepts of geometric transformation for image restoration? (8)

(ii) How weiner filtering is helpful to reduce the mean square error? (8)

14. (a) (i) How do you link edge pixels through global processing? (8)

(ii) Describe Watershed segmentation algorithm. (8)

(Or)

(b) (i) Explain region based segmentation and region growing with an example. (8)

(ii) Discuss how to construct dams using morphological operation? (8)

15. (a) (i) Briefly explain transform coding with neat sketch. (8)

(ii) A source emits letters from an alphabet A = {a1 , a2 , a3 , a4 , a5} with

probabilities P(a1) = 0.2 , P(a2) = 0.4 , P(a3) = 0.2 , P(a4) = 0.1 and P(a5) = 0.1. (8)

(1) Find the Huffman code for this source?

(2) Find the average length of the code and its redundancy?

(Or)

(b) (i) Generate the tag for the sequence 1 3 2 1 for the probabilities P(1) = 0.8 ,

P(2) = 0.02 , P(3) = 0.18. (8)

(ii) How an image is compressed using JPEG image compression standard? (8)

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B.E/B.Tech Degree Examination, November/December 2008Electronics and Communication Engineering

Digital image processingRegulation 2008

Part- A

1. Define 4 and 8 neighbours of a pixels2. What are separable image transforms?3. Define histogram4. Name the different types of derivatives filters5. Define averaging filters6. Give the difference between enhancement and restoration7. Define compression ratio8. What are the basic steps in JPEG?9. Whow that the average value of the laplacian operator is zero10. Define the chain code derivative in 4 and 8 connectivity

Part -B

11.a. Explain discrete cosine transform and its properities(or)

(b)Explain in detail how the continuous image can be converted into digital imageusing suitable technique

12 (a)Explain histogram and give its equalization(or)

(b)Discuss in detail the homomorphic and derivative filters

13(a)(i)Explain mean filter in detail(ii)Explain the operation of inverse filtering

(or)(b)Explain adaptive filter and also what are the two levels of adaptive median filteringalgorithms.

14(a)Explain with block diagram the lossless precitive coding(or)

(b) Explain with block diagram the lossy precitive coding with delta modulationtechnique

15(a)Illustrate with suitable examples how are gradient operators used for detection ofedges in medical images

(or)(b)Show that how hough transforms can be used to link edges

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Anna University , ChennaiB.E./B.Tech. Degree Examination, November/December 2011

Seventh SemesterElectronics and Communication EngineeringEC 2029/EC 708 - Digital Image Processing

(Regulation 2008)Time: Three hours

Maximum : 100 marksAnswer ALL questions

PART-A

1. Describe the elements of visual perception.2. Describe image formation in the eye with brightness adaptation and Discrimination3. What are image sharpening filters. Explain the various types of it.4. What is meant by Inverse filtering?5. Explain singular value decomposition and specify its properties.6. Explain three basic data redundancy?7. Explain any four variable length coding compression schemes.8. Explain the various methods of thresholding in detail?9. Discuss about region based image segmentation techniques.10. What is image segmentation? Explain in detail.

PART-B

11(a)(i) Explain the components of an Image Processing system.

or

11(b) Explain In detail how the continuous image can be converted into digital image usingsuitable technique.

12(a) Explain Histogram and give its equalization.

or

12(b) Discuss the Histogram processing of a digital image.

12(b)(ii) What is histogram of an image? How does it modify an image in equalization andspecification techniques?

13(a) With aid of block diagram, describe the digital image restoration system and explainthe image observation models.

or

13(b) Discuss about Constrained Least Square restoration of a digital image in detail.

13. (b) (i) Illustrate the process of charting the on-line marketing process in detail (8)

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14(a)(i)Write a note on JPEG,MPEG and MP3. (8)

14. (a)(ii)List the type of digital document and explain any two type in detail.(8)

or

14. b.Explain document imaging.(16)

15. (a) (i) Write short notes on MPEG and its standards. (3)

15. (a) (ii) Compare and contrast desktop video processing with desktop video conferencingwith suitable examples. (8)

or

15(b)(i) Explain the following descriptors: (i) Regional descriptors, (ii) Simple descriptors.

15. b. (ii). Discuss the role of any two access control devices.

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Anna University , ChennaiB.E./B.Tech. Degree Examination, November/December 2012

Seventh SemesterElectronics and Communication EngineeringEC 2029/EC 708 - Digital Image Processing

(Regulation 2008)Time: Three hours

Maximum : 100 marksAnswer ALL questions

Part A - (10 * 2 = 20 marks

1. What is meant by brightness and contrast?2. Justify that KLT is an optimal transform.3. What are the types of image enhancement available?4. Mention the procedure involved in marker selection.5. What is bit plane slicing?6. List out the coding systems defined in JPEG standard.7. Why the image is subjected to Wiener filtering?8. How are shift codes generated?9. Define Sobel operator.10. Write the Hadamard transform matrix Hn for n = 3.

Part B - (5 * 16 = 80 marks)

11. (a) (i) Explain any four basic relationships between pixels.(8 marks)11. (a) (ii) What are the different transforms used in DIP? Explain the most advantageous oneindetail.(8 marks)

Or11. (b) (i) What is a frame buffer? Discuss the categories of digital storage for imageprocessing applications.(8 marks)11. (b) (ii) Describe in detail about the elements of digital image processing system.(8 marks)

12. (a) What is histogram equalization? Discuss in detail about the procedure involved inhistogram matching.(16 marks)

Or12. (b) (i) Specify the expressions for the following filters.

1. Geometric mean filter2. Harmonic mean filter3. Contraharmonic mean filter (6 marks)

12. (b) (ii) Write notes on Homomorphic filtering.(10 marks)

13. (a) (i) What is gray level interpolation? Explain the schemes involved in it.(8 marks)13. (a) (ii) Differentiate constrained and unconstrained restoration.(8 marks)

Or13. (b) Write notes on

1. Inverse Filtering2. Least square error filter (16 marks)

14. (a) (i) Explain global processing using Hough transform.(8 marks)14. (a) (ii) What do you understand by dilation and erosion in morphological operation?(8 marks)

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Or

14. (b) (i) Discuss in detail about the threshold selection based on boundary characteristics.(8marks)14. (b) (ii) Elaborate the process of dam construction along with the watershed segmentationalgorithm.(8 marks)

15. (a) Determine the Huffman code assignment procedure for the following data. Computethe average length of the code and the entropy of the source. Is Huffman code uniquelydecodable? If so, justify your answer. (16 marks)

Or15. (b) (i) Discuss the methods of constructing the masking function based on maximumvarianceand maximum magnitude.(8 marks)15. (b) (ii) Draw and explain the block diagram of MPEG encoder.(8 marks)

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