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Tuesday, September 4, 2012

BM2404 DIGITAL IMAGE PROCESSING SYLLABUS | ANNA UNIVERSITY BE BIOMEDICAL ENGINEERING 7TH SEM SYLLABUS REGULATION 2008 2011 2012-2013

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BM2404 DIGITAL IMAGE PROCESSING SYLLABUS | ANNA UNIVERSITY BE BIOMEDICAL ENGINEERING 7TH SEM SYLLABUS REGULATION 2008 2011 2012-2013 BELOW IS THE ANNA UNIVERSITY SEVENTH SEMESTER BE BIOMEDICAL ENGINEERING DEPARTMENT SYLLABUS, TEXTBOOKS, REFERENCE BOOKS,EXAM PORTIONS,QUESTION BANK,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


BM2404 DIGITAL IMAGE PROCESSING L T P C
3 0 0 3
AIM
To study the image processing techniques
OBJECTIVE
 To study the image fundamentals and image transforms
 To study the image enhancement techniques
 To study the image restoration procedures
 To study the image compression procedures
UNIT I DIGITAL IMAGE FUNDAMENTAL 9
Elements of digital image processing systems - Elements of visual perception – image
sampling and quantization – basic relationships between pixels - matrix and singular value
representation of discrete images.
UNIT II IMAGE TRANSFORMS 9
1-D DFT - 2-D DFT – DCT – DST – Walsh - Hadamard – Haar – Slant – KL – SVD and
their properties.
UNIT III IMAGE ENHANCEMENT 9
Gray level transformation – Histogram processing – enhancement using arithmetic/logic
operation – spatial filtering – smoothening and sharpening spatial filter – smoothening in
frequency domain filter – homomorphic filtering
UNIT IV IMAGE RESTORATION AND RECOGNITION 9
Image degradation models – unconstrained and constrained restoration – inverse filtering
– LMS filter – geometric mean filter – geometric transformation – pattern classes – optimal
statistical classifier – neural networks and its uses in image processing.
UNIT V IMAGE COMPRESSION 9
Image compression models – elements of information theory – error free compression –
lossy compression – run-length – Huffman coding – shift codes – arithmetic coding – bit
plane coding – transform coding – JPEG standards – MPEG standards - wavelet
transform – predictive techniques – block truncation coding schemes – facet modeling.
Image segmentation – detection of discontinuities – edge linking and boundary detection –
thresholding – region based segmentation – segmentation by morphological watersheds –
use of motion in segmentation.
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TEXT BOOKS:
1) Rafel C. Gonzalez and Richard E. Woods, “Digital Image Processing" Pearson
education, 2007.
2) Anil K. Jain, “Fundamentals of Digital Image Processing”, PHI, 1997
REFERENCES:
1. Willian K. Pratt, “Digital Image Processing”, John Wiley, NJ, 1987.
2. Sid Ahmed M. A., “Image Processing Theory, Algorithm and Architectures”, McGraw
Hill, 1995
3. Scott E. C. Umbaugh, “Computer Vision and Image Processing”, Prentice Hall,
Eaglewood Cliffs, NJ, 1998.

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