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MC9284 DIGITAL IMAGING Syllabus for 5th Sem MCA - Fifth semester - Regulation 2009 - Anna University

Written By Anonymous on Friday, November 2, 2012 | 11/02/2012


MC9284                                        DIGITAL IMAGING                                           L T P C

3 0 0 3

UNIT I             FUNDAMENTALS OF IMAGE PROCESSING                                         9

Introduction â€" Steps in Image Processing Systems â€" Image Acquisition â€" Sampling and Quantization â€" Pixel Relationships â€" Colour Fundamentals and Models, File Formats, Image operations â€" Arithmetic, Geometric and Morphologic al.


UNIT II            IMAGE ENHANCEMENT                                                                          9

Spatial Domain Gray level Transformations Histogram Processing  Spatial Filtering â€" Smoothing and Sharpening.Frequency Domain : Filtering in Frequency Domain â€" DFT, FFT, DCT â€" Smoothing and Sharpening filters â€" Homomorphic Filtering.

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UNIT III           IMAGE SEGMENTATION AND FEATURE ANALYSIS                           9

Detection of Discontinuities â€" Edge Operators â€" Edge Linking and Boundary Detection â€" Thresholding â€" Region Based Segmentation â€" Morphological WaterSheds â€" Motion Segmentation, Feature Analysis and Extraction.

UNIT IV          MULTI RESOLUTION ANALYSIS AND COMPRESSIONS                     9

Multi Resolution Analysis : Image Pyramids â€" Multi resolution expansion â€" Wavelet

Transforms.

Image Compression : Fundamentals â€" Models â€" Elements of Information Theory â€" Error

Free Compression â€" Lossy Compression â€" Compression Standards.

UNIT V           APPLICATIONS OF IMAGE PROCESSING                                            9

Image Classification â€" Image Recognition â€" Image Understanding â€" Video Motion Analysis â€" Image Fusion â€" Steganogr aphy â€" Digital Compositing â€" Mosaics â€" Colour Image Processing.


REFERENCES:


TOTAL : 45 PERIODS


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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