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Monday, November 12, 2012

BM3314 DIGITAL IMAGE PROCESSING SYLLABUS | ANNA UNIVERSITY BE MEDICAL ELECTRONICS ENGINEERING 6TH SEMESTER SYLLABUS REGULATION 2008 2011 2012-2013

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BM3314 DIGITAL IMAGE PROCESSING SYLLABUS | ANNA UNIVERSITY BE MEDICAL ELECTRONICS ENGINEERING 6TH SEMESTER SYLLABUS REGULATION 2008 2011 2012-2013 BELOW IS THE ANNA UNIVERSITY SIXTH SEMESTER B.E MEDICAL ELECTRONICS ENGINEERING DEPARTMENT SYLLABUS, TEXTBOOKS, REFERENCE BOOKS,EXAM PORTIONS,QUESTION BANK,PREVIOUS YEAR QUESTION PAPERS,MODEL QUESTION PAPERS, CLASS NOTES, IMPORTANT 2 MARKS, 8 MARKS, 16 MARKS TOPICS. IT IS APPLICABLE FOR ALL STUDENTS ADMITTED IN THE YEAR 2011 2012-2013 (ANNA UNIVERSITY CHENNAI,TRICHY,MADURAI, TIRUNELVELI,COIMBATORE), 2008 REGULATION OF ANNA UNIVERSITY CHENNAI AND STUDENTS ADMITTED IN ANNA UNIVERSITY CHENNAI DURING 2009

BM3314 DIGITAL IMAGE PROCESSING L T P C
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UNIT I DIGITAL IMAGE FUNDAMENTALS 9
Elements of digital image processing systems- Elements of visual perception- psycho
visual model- brightness- contrast- hue- saturation- mach band effect- Color image
fundamentals - RGB- HSI models- Image sampling- Quantization- dither- Twodimensional
mathematical preliminaries
UNIT II IMAGE TRANSFORMS 9
1D DFT- 2D transforms – DFT- DCT- Discrete Sine, Walsh- Hadamard- Slant- Haar
Wavelet Transform
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UNIT III IMAGE ENHANCEMENT AND RESTORATION 9
Spatial domain enhancement: gray level transformations - histogram modification and
specification techniques- Image averaging- Directional Smoothing- Median- Geometric
mean- Harmonic mean- Contra harmonic and Yp mean filters- Homomorphic filtering-
Color image enhancement. Image Restoration – degradation model- Unconstrained and
Constrained restoration- Inverse filtering: Removal of blur caused by uniform linear
motion- Wiener filtering- Geometric transformations: spatial transformations- Gray-Level
interpolation
UNIT IV IMAGE SEGMENTATION AND REPRESENTATION 9
Point- line and edge detection- Edge linking- Region based segmentation: Region
splitting and merging.
Image representation: chain codes – polygonal approximations – signatures – boundary
segments – skeletons
UNIT V IMAGE COMPRESSION 9
Need for data compression-Error free compression: variable length coding, bit plane
coding, LZW coding. Lossy compression: Transform coding, wavelet coding.
Compression standards: binary image compression standard, still image compression
standards, video compression standards.
TUTORIAL : 15 TOTAL: 60 PERIODS
REFERENCES:
1. Rafael C- Gonzalez- Richard E-Woods- ‘Digital Image Processing’- Pearson
Education- Inc-- Second Edition- 2004
2. Anil K- Jain- ‘Fundamentals of Digital Image Processing’- Pearson/Prentice Hall of
India- 2002-
3. David Salomon : Data Compression – The Complete Reference- Springer Verlag
New York Inc-- 2nd Edition- 2001
4. William K-Pratt- ‘Digital Image Processing’- John Wiley- NewYork- 2002
5. Kenneth R.Castleman-“Digital Image Processing”-Pearson-2003

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