1.Digital image fundamentals : Light and Electromagnetic spectrum, Components of Image processing system, Image formation and digitization concepts, Neighbors of pixel adjacency connectivity, regions and boundaries, Distance measures, Applications. (Chapter - 1) 2.Image Enhancements : In spatial domain : Basic gray level transformations, Histogram processing, Using arithmetic/Logic operations, smoothing spatial filters, Sharpening spatial filters. In Frequency domain : Introduction to the Fourier transform and frequency domain concepts, smoothing frequency-domain filters, Sharpening frequency domain filters. (Chapter - 2) 3.Image Restoration : Various noise models, image restoration using spatial domain filtering, image restoration using frequency domain filtering, Estimating the degradation function, Inverse filtering. (Chapter - 3) 4.Colour Image processing : Colour fundamentals, Colour models, Colour transformation, Smoothing and Sharpening, Colour segmentation. (Chapter - 4) 5.Wavelet and Multi-resolution processing : Image pyramids, Multi-resolution expansion, wavelet transform. (Chapter - 5) 6.Image compression : Introduction, Image compression model, Error-free compression, Lossy compression. (Chapter - 6) 7.Image segmentation : Detection of discontinuities, Edge linking and boundary detection, thresholding. (Chapter - 7)
