Information
Course Code EIP107
Semester 1
Category Basic
ECTS Credits 8
Eclass
Professors

Proposed Bibliography

Anil Jain K. “Fundamentals of Digital Image Processing”, PHI Learning Pvt. Ltd.
Digital Image Processing by Gonzalez and Woods
Willliam K Pratt, “Digital Image Processing”, John Willey
Burge and Burger, Principles of digital image processing
IEEE transactions on Image processing

Course Description
  1. Two-dimensional signals (Principles, two-dimensional image, FFT spectrum)
  2. Two-dimensional image receive (sensors, errors, sampling, quantization. Optical sensors, SAR, Near Infrared, Thermal Infrared, X-rays, Electronics: CCDs).
  3. Ophthalmic physiology
  4. Color, Color spaces, Transforms in color spaces, The behavior of eye in color, Equal color distances.
  5. 2-D Linear Filters
  6. Three-dimensional signals-video, Spectral content, Velocity filters
  7. Image restoration (inverse problems, distortion causes-correction method)
  8. Image Enhancement
  9. Image Analysis
  10. Mathematical Morphology
  11. Texture
  12. Image segmentation
  13. Techniques
  14. Random sequences, Bernoulli Process, Binary white noise, Random walk, Discrete Wiener Process, Markov processes, Markov chains
  15. Hidden Markov models, Viterbi algorithm
  16. Estimation, Linear prediction