IT2023 DIGITAL IMAGE PROCESSING Syllabus - Anna University

IT2023 DIGITAL IMAGE PROCESSING L T P C
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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.
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
55
TEXT BOOKS:
1. Rafael C.Gonzalez and Richard E.Woods, “Digital Image Processing” Second
Edition, Pearson Education, 2003.
REFERENCES:
1. Milan Sonka, Vaclav Hlavac and Roger Boyle, “Image Processing, Analysis and
Machine Vision”, Second Edition, Thomson Learning, 2001
2. Anil K.Jain, “Fundamentals of Digital Image Processing”, PHI, 2006.
3. Sanjit K. Mitra, & Giovanni L. Sicuranza, “Non Linear Image Processing”, Elsevier,
2007.
4. Richard O. Duda, Peter E. HOF, David G. Stork, “Pattern Classification” Wiley
Student Edition, 2006.
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