MC9284 DIGITAL IMAGING SYLLABUS | ANNA UNIVERSITY MCA 5TH SEM SYLLABUS REGULATION 2009 2011 2012-2013 BELOW IS THE ANNA UNIVERSITY FIFTH SEMESTER M.C.A. (MASTER OF COMPUTER APPLICATIONS) 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), 2009 REGULATION OF ANNA UNIVERSITY CHENNAI AND STUDENTS ADMITTED IN ANNA UNIVERSITY CHENNAI DURING 2009
MC9284 DIGITAL IMAGING L T P C
3 0 0 3
UNIT I FUNDAMENTALS OF IMAGE PROCESSING 9
Introduction – Steps in Image Processing Systems – Image Acquisition – Sampling and
Quantization – Pixel Relationships – Colour Fundamentals and Models, File Formats,
Image operations – Arithmetic, Geometric and Morphological.
34
UNIT II IMAGE ENHANCEMENT 9
Spatial Domain Gray level Transformations Histogram Processing Spatial Filtering –
Smoothing and Sharpening.Frequency Domain : Filtering in Frequency Domain – DFT,
FFT, DCT – Smoothing and Sharpening filters – Homomorphic Filtering.
.
UNIT III IMAGE SEGMENTATION AND FEATURE ANALYSIS 9
Detection of Discontinuities – Edge Operators – Edge Linking and Boundary Detection –
Thresholding – Region Based Segmentation – Morphological WaterSheds – Motion
Segmentation, Feature Analysis and Extraction.
UNIT IV MULTI RESOLUTION ANALYSIS AND COMPRESSIONS 9
Multi Resolution Analysis : Image Pyramids – Multi resolution expansion – Wavelet
Transforms.
Image Compression : Fundamentals – Models – Elements of Information Theory – Error
Free Compression – Lossy Compression – Compression Standards.
UNIT V APPLICATIONS OF IMAGE PROCESSING 9
Image Classification – Image Recognition – Image Understanding – Video Motion
Analysis – Image Fusion – Steganography – Digital Compositing – Mosaics – Colour
Image Processing.
TOTAL : 45 PERIODS
REFERENCES:
1. Rafael C.Gonzalez and Richard E.Woods, “Digital Image Processing” Second
Edition, Pearson Education, 2003.
2. Milan Sonka, Vaclav Hlavac and Roger Boyle, “Image Processing, Analysis and
Machine Vision”, Second Edition, Thomson Learning, 2001
3. Anil K.Jain, “Fundamentals of Digital Image Processing”, Person Educaiton, 2003.
MC9284 DIGITAL IMAGING L T P C
3 0 0 3
UNIT I FUNDAMENTALS OF IMAGE PROCESSING 9
Introduction – Steps in Image Processing Systems – Image Acquisition – Sampling and
Quantization – Pixel Relationships – Colour Fundamentals and Models, File Formats,
Image operations – Arithmetic, Geometric and Morphological.
34
UNIT II IMAGE ENHANCEMENT 9
Spatial Domain Gray level Transformations Histogram Processing Spatial Filtering –
Smoothing and Sharpening.Frequency Domain : Filtering in Frequency Domain – DFT,
FFT, DCT – Smoothing and Sharpening filters – Homomorphic Filtering.
.
UNIT III IMAGE SEGMENTATION AND FEATURE ANALYSIS 9
Detection of Discontinuities – Edge Operators – Edge Linking and Boundary Detection –
Thresholding – Region Based Segmentation – Morphological WaterSheds – Motion
Segmentation, Feature Analysis and Extraction.
UNIT IV MULTI RESOLUTION ANALYSIS AND COMPRESSIONS 9
Multi Resolution Analysis : Image Pyramids – Multi resolution expansion – Wavelet
Transforms.
Image Compression : Fundamentals – Models – Elements of Information Theory – Error
Free Compression – Lossy Compression – Compression Standards.
UNIT V APPLICATIONS OF IMAGE PROCESSING 9
Image Classification – Image Recognition – Image Understanding – Video Motion
Analysis – Image Fusion – Steganography – Digital Compositing – Mosaics – Colour
Image Processing.
TOTAL : 45 PERIODS
REFERENCES:
1. Rafael C.Gonzalez and Richard E.Woods, “Digital Image Processing” Second
Edition, Pearson Education, 2003.
2. Milan Sonka, Vaclav Hlavac and Roger Boyle, “Image Processing, Analysis and
Machine Vision”, Second Edition, Thomson Learning, 2001
3. Anil K.Jain, “Fundamentals of Digital Image Processing”, Person Educaiton, 2003.
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