Course Title: 
Digital Image Processing
Course Code: 
Year Taught: 
Postgraduate (PG)
School of Arts and Sciences
School of Engineering

'Digital Image Processing' is a course offered in M. C. A. (Master of Computer Applications) program at Amrita Vishwa Vidyapeetham.

Introduction and Fundamentals of Image Processing: Origins of Digital Image Processing –Examples - Fundamental Steps in Digital Image Processing - Elements of Visual Perception -A Simple Image Formation Model - Basic Concepts in Sampling and Quantization-Representing Digital Images- Zooming and Shrinking Digital Images - Some BasicRelationships between Pixels - Linear and Nonlinear Operations - Connectivity and Relationsbetween Pixels.Simple Operations- Arithmetic, Logical, Geometric Operations. Image Enhancement in theSpatial Domain and Frequency Domain: Some Basic Gray Level Transformations -Histogram Processing – Basics of Spatial Filtering - Smoothing Filters-Mean, Median, ModeFilters - Edge Enhancement Filters – Sobel, Laplacian, Robert, Prewitt filter, Contrast BasedEdge Enhancement Techniques.Design of Low Pass Filters - High Pass Filters- Edge Enhancement - Smoothening Filters inFrequency Domain. Butter Worth Filter, Homomorphic Filters in Frequency Domain.Comparative Study of Filters in Frequency Domain and Spatial Domain.Image Restoration - Segmentation and Morphology: A Model of the ImageDegradation/Restoration Process - Noise Models - Restoration in the Presence Of Noise Only– Spatial Filtering, Periodic Noise Reduction by Frequency Domain Filtering.Edge Detection - Line Detection - Curve Detection - Edge Linking and Boundary Extraction -Thresholding Algorithms- Region Based Segmentation - Region Growing – Connected26Components Labeling - Region Growing and Region Adjacency Graph (RAG), Split andMerge Algorithms - Morphology - Dilation, Erosion, Opening and Closing.

  • Rafael C. Gonzalez and Richard E. Woods,”Digital Image Processing”,Third Edition, Addison Wesley, 2007.
  • Arthur R.Weeks, Jr., “Fundamentals of Electronic Image Processing”,First Edition, PHI,1996.
  • Milan Sonka, Vaclav Hlavac and Roger Boyle,”Image processing, Analysis, and Machine Vision”,ThirdEdition,Vikas Publishing House, 2007.