Rs. 160
Rs. 180
Rs. 300
Rs. 230
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