COURSE NAME: Digital Image Processing

COURSE CODE: KKK5801

CREDIT HOURS: 3 (3+0)

OBJECTIVE

At the end of the course the students should understand the principle of digital image processing

SYNOPSIS:

Image Capture and Display, Mathematical Preliminaries, Image Processing, Image Transforms, Image Restoration, Image Reconstruction, Image Analysis, Image Compression

SYLLABUS:

1.    Image Capture and Display

    Properties and operation of imaging sensors and display
        - vacuum tubes and solid state devices
        - CRT and solid state display
    Consequences of image scanning
    Television standards

 2.    Mathematical Preliminaries

    Linear systems
    DFT and Z transforms
    Matrix theory
    Random fields and statistical image models
    Estimation and information theory

3.    Image Processing

    Digital image representation and modeling
    Image enhancement - point operations, histogram modification
    Spatial domain operations, convolution techniques, smoothing and sharpening
    Frequency domain operations
    Noise reduction

 4.    Image Transforms

    Karhunen-Loeve transform
    Fourier, Discrete Cosine and Sine transforms
    Hadamard and Walsh transforms
    Haar transform
    Slant transform

 5. Image Restoration

    Fourier and algebraic methods
    Degradation model
    Inverse filtering
    Least mean squares (Wiener) filtering
    Kalman filtering
    Maximum likelihood (ML) and maximum a-posteriori (MAP) estimates
    Speckle image, homomorphic filtering

6. Image Reconstruction

    Tomography
    Image projections and the Fourier slice theorem
    Filtered Back projection algorithms
    Iterative reconstruction techniques
    Radon and inverse radon transform
    Algebraic methods

7. Image Analysis

    Spatial and transform feature extraction
    Edge detection, boundary extraction and representation
    Region, texture and moment representation
    Morphological processing
    Image segmentation and classification

8. Image Compression

    Predictive techniques - Delta modulation, DPCM
    Transform coding
    Zonal and threshold coding
    Hybfid coding and vector DPCM
    Interframe coding
    Vector quantization
    Image compression standards

 

REFERENCES:

1. Anil K Jain, "Fundamentals of Digital Image Processing". Prentice Hall, Inc. 1989.
2. R.C. Gonzales, R.E. Woods, "Digital Image Processing". Addison-Wesley Publishing Company, 1992.
3. Chellappa and Sawchuk, "Digital Image Processing, Volumes 1 and 2". IEEE Press, 1992.