Syllabus
UNIT 1:
Digital Image fundamentals, A simple image model, Sampling and Quantization. Relationshipbetween pixels. Imaging geometry. Image acquisition systems, Different types of digital images
UNIT 2:
Image transformations, Introduction to Fourier transforms, Discrete Fourier transforms, FastFourier transform, Walsh transformation, Hadmord transformation, Discrete Cosine Transformation
UNIT 3:
Image enhancement, Filters in spatial and frequency domains, Histogram based processing. Image subtraction, Averaging, Image smoothing, Nedion filtering, Low pass filtering, Image sharpening by High pass filtering
UNIT 4:
Image encoding and segmentation, Encoding: Mapping, Quantizer, Coder. Error free compression, Lossy Compression schemes. JPEG Compression standard. Detection of discontinuation by point detection, Line detection, edge detection, Edge linking and boundary detection, Local analysis, Global processing via Hough transforms and graph theoretic techniques
UNIT 5:
Mathematical morphology-Binary, Dilation, crosses, Opening and closing, Simple methods of representation, Signatures, Boundary segments, Skeleton of a region, Polynomial approximation
NOTES
- Unit 1
- Unit 2
- Unit 3
- Unit 4
- Unit 5
References
1. Rafael C Gonzalez, Richard E Woods 3rd Edition, Digital Image Processing Pearson.
2. Rafael C Gonzalez, Richard E Woods 3rd Edition, Digital Image Processing using Matlab –TMH.
3. Sonka, Digital Image Processing & Computer Vision , Cengage Learning
4 Jayaraman, Digital Image Processing, TMH.
5. Pratt, Digital Image Processing, Wiley India
6 Annadurai, Fundamentals of Digital Image Processing ,Pearson Education .