COURSE SUMMARY
Course Title: 
Principles of Digital Image Processing
Course Code: 
15CSE363
Year Taught: 
2015
2016
2017
2018
Type: 
Elective
Degree: 
Undergraduate (UG)
School: 
School of Engineering
Campus: 
Bengaluru
Chennai
Coimbatore
Amritapuri

'Principles of Digital Image Processing' is a course offered in the B. Tech. in Computer Science and Engineering program at School of Engineering, Amrita Vishwa Vidyapeetham.

Unit 1

Mathematical Background for Image Processing: Review of Vectors and Matrices - Review of Probability and statistics. Digital Image Fundamentals: Elements of Visual Perception - Image Sensing and Acquisition – Image Sampling and Quantization – Basic Relationships between Pixels - Image interpolation. Intensity Transformations and Spatial Filtering: Basic Intensity transformation Functions – Histogram Processing – Fundamentals of Spatial Filtering – Smoothing and Sharpening Spatial Filters.

Unit 2

Filtering in Frequency Domain: 2D Discrete Fourier Transforms - Basics of filtering - Image Smoothing and Image Sharpening Using Frequency Domain Filters - Selective Filtering, Image Restoration: Noise Models – Restoration using Spatial Filters – Periodic Noise Reduction by Frequency Domain Filters.

Unit 3

Morphological Image Processing: Erosion – Dilation – Opening – Closing – Hit-orMiss Transform - Extraction of Connected Components. Image Segmentation: Fundamentals – Point, Line and Edge Detection – Thresholding - Region Based Segmentation – Region Growing – Region Splitting and Merging. Color image processing.

  • Gonzalez R C and Woods R E, “Digital Image Processing”, Third Edition, Pearson Education, 2009
  • Pratt W K, “Digital Image Processing”, Fourth Edition, John Wiley & Sons, 2007.
  • Castleman K R, “Digital Image Processing”, Prentice Hall, 1996.
  • Gonzalez, Woods and Eddins, “Digital Image Processing Using MATLAB”, Prentice Hall, 2004.
  • Russ J C, “The Image Processing Handbook”, CRC Press, 2007