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SRI SUBRAMANYA COLLEGE OF ENGINEEERING & TECHNOLOGY

LECTURE PLAN

Academic Year 2014-2015Duration of the semester

as per academic calendarFrom :26.06.2014

To :05.11.2014

Name of the

Department

Electronics and

Communication Engg. Semester

VII

A secti

Subject Code & Name EC2029&Digital ImageProcessing

Total Hours as

per syllabus45

Name of the staff

with designation &

Department

S.Ayyappan

AP/ECE

Dept./

inter de

subjec

(Pl.tick

Unit IDIGITAL IMAGE FUNDAMENTALS

S.

No

Planned

DatePeriod Topics to be covered

Ref.

Book

Page No in

ref. book

Teaching

Method

Complet

Date

1

26.06.2014

&28.06.2014

7

&1

Elements of digital image

processing systemsT1 28 TO 30 BB

230.06.2014

&

01.07.2014

5&

7

Vidicon and Digital Camera

working principlesT2 1.6 TO1.10 BB

302.07.2014

2&

4

Elements of visual perception,

brightness, contrastT1 36 TO 42 BB

4 03.07.2014 7Hue, saturation, mach

band effectT1 48 TO 58 BB

5

05.07.2014

&07.07.2014

1

&5

Color image fundamentals -

RGB, HSI models T1 395 TO 414 BB

6 08.07.2014 7

Image sampling, Quantization,

ditherT1T2

52 TO 6899 TO 121

BB

7

09.07.2014

&

10.07.2014

4

&

7

Two-dimensional mathematical

preliminaries, 2D transforms

DFT

T2 141 TO 150 BB

814.07.2014

&

15.07.2014

5

&

2

DCT, KLT T2

150 TO 154

&168 TO 170

BB

9 16.07.2014 4 SVD T2 176 TO 180 BB


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Unit IIIMAGE ENHANCEMENT

1017.7.2014

&19.07.2014

7

&1

Histogram equalization T1 12O TO 127 BB

1121.07.2014

&

22.07.2014

5&

7

Histogram specification

techniquesT1 127 TO 144 BB

12 23.07.2014 2 Noise distributions T1 313 TO 321 BB

13 24.07.20147 Spatial averaging, Directional

SmoothingT1 322 TO 334 BB

14 30.07.2014 2 Median filtering T1 156 TO 157 BB

15 30.07.2014 4 Geometric mean, Harmonic mean T1 323 BB

16 31.07.2014 7 Contraharmonic mean filters T1 323 BB

17 31.07.2014 7 Homomorphic filtering T1 289TO 293 BB

18 31.07.2014 7 Color image enhancement. T1 433 TO 450 BB

Unit IIIIMAGE RESTORATION

19 02.08.2014 1Image Restoration - degradation

modelT1 311 TO 312 BB

2004.08.2014

&05.08.2014

5&

7Unconstrained restoration T1 312 TO 313 BB

21 06.08.20142&4

Lagrange multiplier T2 98 TO 99 BB

2207.08.2014

&

09.08.2014

7&

1Constrained restoration T1 357 TO 361 BB

23

11.08.2014

&12.08.2014

5

&7

Inverse filtering T1 351 TO 352 BB

2413.8.20.141

&4.08.2014

2

&7

Removal of blur caused by

uniform linear motionT1 353 BB

25 18.07.2014 5 Wiener filtering T1 352 TO 357 BB

2619.08.2014

&20.08.2014

7

&2

Geometric transformations T1 87 TO 91 BB

2720.08.2014

&

21.08.2014

4&

7Spatial transformations T1 87 TO 91 BB

Unit IVIMAGE SEGMENTATION

2823.08.2014

&25.08.2014

1&5

Edge detection, T1 700 TO 712 BB

2926.08.2014

&27.08.2014

7

&2

Edge linking via Hough transformT1 725 TO 738 BB


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3028.08.2014

&

01.09.2014

7&

5Thresholding T1 738 TO 752 BB

31 02.09.2014 7 Various threshloding types T1 738 TO 752 BB

3203.09.2014

&3.9.14

2&4

Region based segmentation-

Region growingT1 763 TO 766 BB

33 4.9.2014 7 Region splitting and Merging T1 766 TO 769 BB

34 9.9.2014 7Segmentation by morphological

watersheds basic conceptsT1 769TO 772 BB

35 10.9.2014 2 Dam construction T1 772TO 774 BB

36 10.9.2014 4Watershed segmentation

algorithmT1 774TO 776 BB

Unit VIMAGE COMPRESSION37 11. 9.2014 7 Need for data compression T1 525 to 539 BB

3813. 9.2014

&

15. 9.2014

1&

5Huffman T1 542 to 544 BB

39 16. 9.2014 7 Run Length Encoding T1 553 to 555 BB

40 17. 9.2014 2 Shift codes. BB

41 17. 9.2014 2 Arithmetic coding, T1 548 to 551 BB

42 20. 9.2014 1 Vector Quantization T2 477 to 479 BB

43 22. 9.2014 5 Transform coding T2 491 to 497 BB

44 23. 9.2014 7 JPEG standard T1 607 to 614 BB

4524. 9.2014

&24. 9.2014

2

&4

MPEG T1 538 to 541 BB

BB-Black Board, OHP-Over Head Projector, PP-Power point (LCD Projector)

BOOKS FOR STUDY

TEXT BOOKS:

T1. Rafael C. Gonzalez, Richard E. Woods, , Digital Image Processing', Pearson,

Second Edition, 2004.

T2. Anil K. Jain, , Fundamentals of Digital Image Processing', Pearson 2002.

REFERENCES BOOK:

R1. Kenneth R. Castleman, Digital Image Processing, Pearson, 2006.

R2. Rafael C. Gonzalez, Richard E. Woods, Steven Eddins,' Digital Image Processing using MATLAB',

Pearson Education, Inc., 2004.

R3. D,E. Dudgeon and RM. Mersereau, , Multidimensional Digital Signal Processing',

Prentice Hall Professional Technical Reference, 1990.

R4. William K. Pratt, , Digital Image Processing' , John Wiley, New York, 2002

R5. Milan Sonka et aI, 'IMAGE PROCESSING, ANALYSIS AND MACHINE VISION',

Brookes/Cole, Vikas Publishing House, 2nd edition, 1999,


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REFERENCES:

Prepared by Checked by Approved by

Signature

Name S.AYYAPPAN

Designation ASSISTANT PROFESSOR HoD, Department of ECE Principal

Date

Remarks if any

Syllabus copy should be enclosed along with lecture plan

HOD, s should countersign the lecture plan at the end of every week.

If there is any deviation in the lecture plan, concern Heads should get the explanation from

the faculty members. Test dates may be placed in the respective places as per academic schedule.

Initials of the

Head of the

department

with date

End of I

Unit

End of II

Unit

End of III

Unit

End of IV

Unit

End of V

Unit

End of

Semester

Signature withDate

Staff-in-charge Head of the department Principal

lecture plan-a without complted date

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