ec2029 dip syllabus

DOC/LP/00/21.01.05

LESSON PLANLP- EC2029

LP Rev. No: 00Date: 06/07/2011Page 01 of 06

Sub Code& Name : EC2029- DIGITAL IMAGE PROCESSING

Unit: I Branch: ECE Semester:VII

UNIT-I

DIGITAL IMAGE FUNDAMENTALS AND TRANSFORMS9

Elements of digital image processing systems, Vidicon and Digital Camera working principles, Elements of visual perception, brightness, contrast, hue, saturation, mach band effect, Color image fundamentals - RGB, HSI models, Image sampling, Quantization, dither, Two-dimensional mathematical preliminaries, 2D transforms -DFT, DCT, KLT, SVD.

Objective: To study the monochrome and color image fundamentals, mathematical transforms necessary for image processing.Session

NoTopics to be coveredTimeRef Teaching Method

1. Elements of digital image processing systems50m1BB

2. Vidicon and Digital Camera working principles50m2OHP

3. Elements of visual perception50m1OHP

4. Brightness, contrast, hue, saturation, mach band effect50m1BB

5. Color image fundamentals - RGB, HSI models50m1BB

6. Image sampling and quantization, Dither50m1BB

7. Two-dimensional mathematical preliminaries50m2BB

8. Two-dimensional mathematical preliminaries50m2BB

9. Introduction to Fourier Transform and DFT50m2,4BB

10. Discrete Cosine Transform and its properties50m2,4BB

11. Karhunen Loeve transforms and its properties50m2BB

12. Singular Value Decomposition and its properties50m2BB

CAT 150m


LP Rev. No: 00

Date: 06/07/2011Page 02 of 06


Unit: II Branch: ECE Semester:VII

UNIT II IMAGE ENHANCEMENT 9Histogram equalization and specification techniques, Noise distributions, Spatial averaging, Directional Smoothing, Median, Geometric mean, Harmonic mean, Contraharmonic mean filters, Homomorphic filtering, Color image enhancement.

Objective: To study the image enhancement techniques

Session

NoTopics to be coveredTime Ref Teaching Method

13. Spatial Domain methods: Basic grey level transformation50m1,4BB

14. Histogram equalization Histogram specification techniques50m1,4BB

15. Noise Distributions50m1,4BB

16. Image subtraction and Image averaging50m1BB

17. Smoothing, sharpening filters50m1,4

BB

18. Geometric mean, Harmonic mean, Contraharmonic mean filters50m1BB

19. Homomorphic filtering

50m1BB

20. Color image enhancement techniques50m1BB

21. Color image enhancement techniques50m1,4PPT

CAT-II50m


LP Rev. No: 00

Date: 06/07/2011Page 03 of 06

Sub Code& Name : EC2029-DIGITAL IMAGE PROCESSING

Unit: III Branch: ECE Semester:VII

UNIT III IMAGE RESTORATION 9Image Restoration - degradation model, Unconstrained restoration - Lagrange multiplier and Constrained restoration, Inverse filtering-removal of blur caused by uniform linear motion, Wiener filtering, Geometric transformations-spatial transformation.Objective: To study image restoration procedures. Session

No

Topics to be coveredTime Ref Teaching Method

22. Model of Image Degradation/restoration process50m1BB

23. Noise models50m1BB

24. Unconstrained restoration50m1BB

25. Lagrange multiplier50m1BB

26. Least mean square filtering50m1,4BB

27. Constrained least mean square filtering50m1,3BB

28. Inverse filtering-removal of blur caused by uniform linear motion50m1BB

29. Wiener filtering50m1,4BB

30. Geometric transformations50m1BB

31. Spatial transformation50m1BB

CAT-III50m


LP Rev. No: 00

Date: 06/07/2011Page 04 of 06


Unit: V Branch: ECE Semester:VII

UNIT V IMAGE COMPRESSION 9Need for data compression, Huffman, Run Length Encoding, Shift codes, Arithmetic coding, Vector Quantization, Transform coding, JPEG standard, MPEG.

Objective: To study the image compression techniques.

Session

NoTopics to be coveredTime Ref Teaching Method

32. Need for data compression, Different types of compression50m6BB

33. Variable length coding-Huffman Coding50m1,3BB

34. Tutorials50m1,3BB

35. Run Length Encoding, Shift codes50m1BB

36. Arithmetic coding50m4BB

37. Vector Quantization50m4BB

38. Lossy Compression: Transform coding50m1,4BB

39. Wavelet coding50m1,4BB

40. Basics of Image compression standards: JPEG50m1PPT

41. MPEG standards50m1PPT

CAT-IV50m


LP Rev. No: 00

Date: 06/07/2011Page 05 of 06

Sub Code& Name : EC2029-DIGITAL IMAGE PROCESSING

Unit: IV Branch: ECE Semester:VII

UNIT IV IMAGE SEGMENTATION 9Edge detection, Edge linking via Hough transform Thresholding - Region based segmentation Region growing Region splitting and Merging Segmentation by morphological watersheds basic concepts Dam construction Watershed segmentation algorithm.

Objective: To study the image segmentation procedures.

Session

No

Topics to be coveredTime Ref Teaching Method

42. Edge detection 50m1BB

43. Edge linking via Hough transform50m1BB

44. Thresholding50m1BB

45. Region Based segmentation50m1,4BB

46. Region growing 50m1BB

47. Region splitting and Merging50m1BB

48. Segmentation by morphological watersheds basic concepts50m1,7PPT

49. Dam construction50m1,7PPT

50. Watershed segmentation algorithm50m1,7PPT

CAT-V50m


LP Rev. No: 00

Date: 06/07/2011Page 06 of 06

SubCode& Name : EC2029-DIGITAL IMAGE PROCESSING

Branch: ECE Semester:VII

Course Delivery Plan: Week 123456789101112131415

I III III III III III III III III III III III III III III II

Units12354

TEXTBOOKS:1. Rafael C. Gonzalez, Richard E. Woods, , Digital Image Processing, Pearson ,Second Edition, 2004.

2. Anil K. Jain, Fundamentals of Digital Image Processing, Pearson 2002.REFERENCES:3. Kenneth R. Castleman, Digital Image Processing, Pearson, 2006.

4. Rafael C. Gonzalez, Richard E. Woods, Steven Eddins, Digital Image Processing using MATLAB, Pearson Education, Inc., 2004.

5. D,E. Dudgeon and RM. Mersereau, , Multidimensional Digital Signal Processing',Prentice Hall Professional Technical Reference, 1990.6. William K. Pratt, , Digital Image Processing' , John Wiley, New York, 2002.7. Milan Sonka et aI, 'Image Processing, Analysis And Machine Vision', Brookes/Cole, Vikas Publishing House, 2nd edition, 1999.Prepared byApproved by

Signature

NameMs.L.ANJU, Ms.D.MENAKAPROF.E.G.GOVINDAN

DesignationASSISTANT PROFESSORHOD-EC

Date06/07/201106/07/2011

CAT V

CAT I

CAT II

CAT III

CAT IV

ec2029 dip syllabus

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