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Dr. M.G.R. University - M.Tech(CSE) - MCSE03 - DIGITAL IMAGE PROCESSING
Posted Date: 18 Dec 2007 Resource Type: Articles/Knowledge Sharing Category: Syllabus
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Posted By: Jagadeesan. D Member Level: Silver
Rating:  Points: 1
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ELECTIVE I - I SEMESTER
MCSE03 DIGITAL IMAGE PROCESSING 3 0 0 3
1. DIGITAL IMAGE FUNDAMENTALS 9 0 0
Image Transforms - Walsh, Hadamard, Discrete cosine, Hotelling Transforms, Image formation, File
formats – FFT.
2. IMAGE ENHANCEMENT AND RESTORATION 9 0 0
Histogram modification techniques - Image smoothening - Image Sharpening - Image Restoration -
degradation Model - Digitalization of Circulant and block circulant matrices - Algebraic approach to
restoration.
3. IMAGE COMPRESSION AND SEGMENTATION 9 0 0
Compression Models - Elements of information theory - Error free Compression -Image segmentation -
Detection of Discontinuities - Edge linking and boundary detection - Threshold - Regions Oriented
Segmentations - Morphology.
4. FEATURE EXTRACTION 9 0 0
Image feature description - Interpretation of Line drawings, Image pattern recognition algorithms.
5. KNOWLEDGE REPRESENTATION AND USE 9 0 0
Knowledge representations and use - Image analysis using Knowledge about scenes - Image understanding
using two dimensional methods.
References
1. Gonzalez R & Woods B.E., Digital Image Processing, Iind Ed., Pearson Education 2002
2. Nick Efford, Digital Image Processing, Pearson Education 2000.
3. Chanda & Majumder, Digital Image Processing, Pearson Education 2000.
4. Anil Jain.K, Fundamentals of Digital image Processing, Prentice Hall of India, 1989.
5. Sid Ahmed, Image Processing, McGraw Hill, New York, 1995.
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