MT 3002 DIGITAL IMAGE PROCESSING SYLLABUS | ANNA UNIVERSITY BE MECHATRONICS ENGINEERING 8TH SEMESTER SYLLABUS REGULATION 2008 2011 2012-2013 BELOW IS THE ANNA UNIVERSITY 8TH SEMESTER B.E MECHATRONICS 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
MT 3002 DIGITAL IMAGE PROCESSING L T P C
3 0 0 3
UNIT I DIGITAL IMAGE FUNDAMENTALS 9
Introduction – Examples of fields that use Digital image processing, Fundamental steps in
Digital Image Processing systems, Components of an image processing systems, Light and EM
spectrum, Image sensing and acquisition, Image sampling and quantization- Concepts, image
representation, Spatial and gray level resolution, Aliasing and Morie patterns, Some basic
relationships between pixels
UNIT II IMAGE ENHANCEMENT IN SPATIAL DOMAIN 9
Background, Gray level transformation- Image negatives, Log transformations, Power law
transformations, Piecewise-Linear transformation functions, Histogram processing- Histogram
equalization, Histogram matching(Specifications), Enhancement using ALU
UNIT II I IMAGE ENHANCEMENT IN FREQUENCY DOMAIN 9
Introduction to the Fourier transform and the frequency domain – 1-D Fourier transform and its
inverse, 2-D Fourier transform and its inverse, Smoothing frequency domain filters- Ideal,
Butterworth, Gaussian low pass filters, Sharpening frequency domain filters- Ideal, Butterworth,
Gaussian high pass filters
UNIT IV COLOR IMAGE PROCESSING AND WAVELETS 9
Color fundamentals, Color models- RGB color model, CMY and CMYK color model, HIS color
model.
Wavelets- Background- Image pyramids, sub band coding, Haar transform, Wavelet transform
in 1-D- Wavelet series expansion, discrete wavelet transform, Continuous wavelet transform.
UNIT V IMAGE COMPRESSION AND SEGMENTATION 9
Fundamentals – Image compression models, Error-free compression – Lossy compression-
Lossy predictive coding, Transform coding, JPEG 2000 – Detection of discontinuities – Edge
linking and boundary detection
TOTAL = 45 PERIODS
REFERENCES
1. Rafael C. Gonzalez and Richard E. Woods, “Digital Image Processing”, Pearson
Education Asia / Addison Wesley publishing company, Sixth Indian Reprint 2001.
2. Anil K. Jain, “Fundamentals of Digital Image Processing”, Prentice-Hall of India, New Delhi,
2001.
3. Maher A. Sid-Ahmed, “Image Processing Theory, Algorithms and architectures”, McGraw-
Hill, 1995.
4. William K. Pratt, “Digital Image Processing”, Wiley-Inter Science Publication, 2nd Edition,
1991.
5. Arthur K Wreeks, “Fundamentals of Electronics Image Processing”, Prentice-Hall of India,
New Delhi, 2001
MT 3002 DIGITAL IMAGE PROCESSING L T P C
3 0 0 3
UNIT I DIGITAL IMAGE FUNDAMENTALS 9
Introduction – Examples of fields that use Digital image processing, Fundamental steps in
Digital Image Processing systems, Components of an image processing systems, Light and EM
spectrum, Image sensing and acquisition, Image sampling and quantization- Concepts, image
representation, Spatial and gray level resolution, Aliasing and Morie patterns, Some basic
relationships between pixels
UNIT II IMAGE ENHANCEMENT IN SPATIAL DOMAIN 9
Background, Gray level transformation- Image negatives, Log transformations, Power law
transformations, Piecewise-Linear transformation functions, Histogram processing- Histogram
equalization, Histogram matching(Specifications), Enhancement using ALU
UNIT II I IMAGE ENHANCEMENT IN FREQUENCY DOMAIN 9
Introduction to the Fourier transform and the frequency domain – 1-D Fourier transform and its
inverse, 2-D Fourier transform and its inverse, Smoothing frequency domain filters- Ideal,
Butterworth, Gaussian low pass filters, Sharpening frequency domain filters- Ideal, Butterworth,
Gaussian high pass filters
UNIT IV COLOR IMAGE PROCESSING AND WAVELETS 9
Color fundamentals, Color models- RGB color model, CMY and CMYK color model, HIS color
model.
Wavelets- Background- Image pyramids, sub band coding, Haar transform, Wavelet transform
in 1-D- Wavelet series expansion, discrete wavelet transform, Continuous wavelet transform.
UNIT V IMAGE COMPRESSION AND SEGMENTATION 9
Fundamentals – Image compression models, Error-free compression – Lossy compression-
Lossy predictive coding, Transform coding, JPEG 2000 – Detection of discontinuities – Edge
linking and boundary detection
TOTAL = 45 PERIODS
REFERENCES
1. Rafael C. Gonzalez and Richard E. Woods, “Digital Image Processing”, Pearson
Education Asia / Addison Wesley publishing company, Sixth Indian Reprint 2001.
2. Anil K. Jain, “Fundamentals of Digital Image Processing”, Prentice-Hall of India, New Delhi,
2001.
3. Maher A. Sid-Ahmed, “Image Processing Theory, Algorithms and architectures”, McGraw-
Hill, 1995.
4. William K. Pratt, “Digital Image Processing”, Wiley-Inter Science Publication, 2nd Edition,
1991.
5. Arthur K Wreeks, “Fundamentals of Electronics Image Processing”, Prentice-Hall of India,
New Delhi, 2001
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