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RAJALAKSHMI INSTITUTE OF TECHNOLOGY, CHENNAI -602124

DEPARTMENT OF ELECTRONICS AND COMMUNICATIONENGINEERING

UNIT I DIGITAL IMAGE FUNDAMENTALS 9Elements of digital image processing systems, Vidicon and DigitalCamera workingprinciples, Elements of visual perception, brightness, contrast, hue,saturation, machband effect, Color image fundamentals - RGB, HSI models, Imagesampling,Quantization, dither, Two-dimensional mathematical preliminaries, 2D

transforms -DFT, DCT, KLT, SVD.Session

NoTopics to be covered

Proposed

date

Books

Referred

Teaching

Method

1Elements of digital imageprocessing systems

20.6.11 1(25) BB

2

Vidicon and Digital Cameraworkingprinciples

23.6.11 1(28) BB

3 Elements of visual perception 24.6.11 1(36) BB

4brightness, contrast, hue,saturation, machband effect

24.6.11 1(39) BB

5Color image fundamentals - RGB,HSI models

27.6.11 1(395) BB

6Image sampling,

30.6.11 1(52) BB

Sub code & Name : EC 2029 digital image processingSemester & Year : VII sem / IVyear

Branch : ECE

Faculty : Mr. R.Sunder

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7 Quantization, dither 1.7.11 1(55) BB

8, Two-dimensional mathematicalpreliminaries

1.7.11 1(68) BB

92D transforms -

DFT

4.7.11 1(225) BB

10 DCT, KLT 7.7.11 2 BB

11SVD.

8.7.11 2 BB

Unit Syllabus:

UNIT II IMAGE ENHANCEMENT 9Histogram equalization and specification techniques, Noise distributions,Spatialaveraging, Directional Smoothing, Median, Geometric mean, Harmonicmean,Contraharmonic mean filters, Homomorphic filtering, Color imageenhancement.42

Session

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Propose

d date

Books

Referred

Teaching

Method

12 Histogram equalization 8.7.11 1(120) BB

13Histogram specificationtechniques

11.7.11 1(128) BB

14 Noise distributions 14.7.11 1(314) BB

15Spatialaveraging

15.7.11 1(144) BB

16 Directional Smoothing 15.7.11 1(152) BB

17 Median, Geometric mean filters 18.7.11 1(156,323) BB

18

Harmonic mean,Contraharmonic mean filters 21.7.11 1(323) BB

19 Homomorphic filtering 22.7.11 1(289) BB

20Color image enhancement.

22.7.11 1(438) BB

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UNIT III IMAGE RESTORATION 9Image Restoration - degradation model, Unconstrained restoration -

Lagrange multiplierand Constrained restoration, Inverse filtering-removal of blur caused byuniform linearmotion, Wiener filtering, Geometric transformations-spatialtransformations.

Session

No

Topics to be covered Propose

d date

Books

Referred

Teaching

Method

21 Image Restoration, 25.7.11 1(341) BB

22 degradation model 28.7.11 1(343) BB

23 Unconstrained restoration 29.7.11 1(346) BB

24 Lagrange multiplier 29.7.11 1(346) BB

25 Constrained restoration 1.8.11 1(357) BB

26 Inverse filtering 4.8.11 1(351)

27 removal of blur caused by uniformlinearmotion

5.8.11 1(352) BB

31 Wiener filtering 5.8.11 1(353) BB

32 Geometric transformations 8.8.11 1(361) BB

33 spatial transformations. 11.8.11 1(362) BB

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UNIT IV IMAGE SEGMENTATION 9Edge detection, Edge linking via Hough transform Thresholding -Region basedsegmentation Region growing Region splitting and Merging

Segmentation bymorphological watersheds basic concepts Dam construction Watershedsegmentation algorithm

Session

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PROP

OSED

DATE

Books

Referred

Teaching

Method

34 Edge detection 12.8.11 1(706) BB

35 Edge linking via Hough transform 12.8.11 1(725) BB

36 Thresholding 18.8.11 1(738) BB

37Region basedsegmentation

19.8.11 1(763) BB

38 Region growing 19.8.11 1(764) BB

39 Region splitting and Merging 22.8.11 1(766) BB

40Segmentation bymorphological watersheds

25.8.11 1(769) BB

41 basic concepts 26.8.11 1(513-514) BB

42 Dam construction . 26.8.11 1(772) BB

43

Watershed

segmentation algorithm 29.8.11 1(774) BB

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Unit Syllabus:

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

Session

No

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d date

Books

Referred

Teaching

Method

44 Need for data compression 1.9.11 1(526) BB

45 Huffman 2.9.11 1(542) BB

46 Run Length Encoding 2.9.11 1(553) BB

47 Shift codes 5.9.11 1(544) BB

48Arithmetic

coding

8.9.11 1(548) BB

49 Vector Quantization 9.9.11 1(603) BB

50 Transform coding 9.9.11 1(566) BB

51 JPEG standard 12.9.11 1(538) BB

52 MPEG 15.9.11 1(594) BB

TEXTBOOKS:1. Rafael C. Gonzalez, Richard E. Woods, , Digital Image Processing',Pearson ,Second Edition, 2004.2. Anil K. Jain, , Fundamentals of Digital Image Processing', Pearson2002.43

REFERENCES:1. Kenneth R. Castleman, Digital Image Processing, Pearson, 2006.2. Rafael C. Gonzalez, Richard E. Woods, Steven Eddins,' Digital ImageProcessingusing MATLAB', Pearson Education, Inc., 2004.3. D,E. Dudgeon and RM. Mersereau, , Multidimensional Digital SignalProcessing',

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Prentice Hall Professional Technical Reference, 1990.4. William K. Pratt, , Digital Image Processing' , John Wiley, New York,20025. Milan Sonka et aI, 'IMAGE PROCESSING, ANALYSIS AND

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