IT2023 DIGITAL IMAGE PROCESSING Syllabus

IT2023  DIGITAL IMAGE PROCESSING Syllabus

IT2023                  DIGITAL IMAGE PROCESSING           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.

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




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.