Introduction to Digital Image Processing
Winter 2019-20
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EE168: Introduction to Digital Image Processing Syllabus The * items are the lab sessions, also in Mitchell 350/372, and are generally completed on your laptop using Matlab or another language of choice. Week 1. 1) Introduction and organization, physics of vision, resolution, impulse response *2) Lab: Viewing digital images, bits and bytes, raster scan format, quantization Handouts for lectures: Handout 1 Handout 2 Week 2. 3) Linear systems, matrix transformations, scaling, translation and rotations *4) Lab: Scaling, translation and rotation, sums and differences Handouts for lectures: Handout 4 Handout 6 Handout 7 Week 3. 5) Contrast and grey levels, histograms, Gaussian and other non-linear stretches 6) Convolution, simple filters, edge detection *7) Lab: Histograms and stretches, convolutional filters Handouts for lectures: Handout 10 Handout 12 Week 4. 8) The frequency domain, power spectral density, the FFT 9) Digital filtering, image enhancement, noise *10) Lab: Fourier transforms and the frequency domain, filters Handouts for lectures: Handout 15 Week 5. 11) The fast Fourier transform 12) The convolution theorem *13) Lab: FFTs, Image filtering: smoothing and sharpening Handouts for lectures: Handout 16 Handout 19 Week 6. 14) Assignment of final project 15) Color representation, RGB, HSI, 24 bit and 8 bit color tables *16) Lab: 2D convolution and correlation Handouts for lectures: Handout 24 Handout 25 Week 7. 17) 3D information, perspective plots 18) Topography and shaded relief displays, contours, parallax and stereo *19) Lab: Color and color tables Handouts for lectures: Handout 27 Week 8. 20) Image morphing *21) Lab: Creating multiple image sequences for the project Handouts for lectures: Handout 30 Week 9. 22) Interpolation 23) Fitting smooth functions to sparse data, least-squares 24) False color images, principle components analysis *25) Extra credit Lab: Principle components analysis Handouts for lectures: Handout 31 Handout 33 Handout 35 Week 10.26) Student presentations: computer animations 1 27) Student presentations: computer animations 2
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