Contents

• Unit - I

  DIGITAL IMAGE FUNDAMENTALS: Image sensing and acquisition, Image sampling and quantization, Representing digital images, Spatial and gray-level resolution,

  Spatial operations, Vector & matrix operations, Zooming and Shrinking of digital images. RGB and HSI Color models

  Unit - II

  II BASIC IMAGE OPERATIONS: Intensity transformation functions, Histogram equalization, Spatial filtering for image smoothing,

  Image sharpening by first and second order derivatives, Image smoothing and sharpening using frequency domain filters

  Unit - III

  IMAGE RESTORATION: Image restoration model, Noise Models, Spatial and frequency properties of noise, noise probability density functions,

  Noise only- spatial filter, Mean, order Statistic and adaptive filters, Concepts of inverse and Wiener filtering

  Unit - IV

  MORPHOLOGICAL IMAGE PROCESSING: Erosion and Dilation, Opening and closing,

  morphological algorithms for Boundary extraction, thinning, pruning, smoothing and thickening

  Unit - V

  IMAGE SEGMENTATION AND COMPRESSION: Edge based segmentation, Edge detection masks, Gradient operators,

  Thresholding, Region growing, Watershed transform,

  Fundamentals of image compression; Loss-less compression techniques; Lossy compression techniques, compression standards