Introduction to Digital Image Processing
Winter 2011-2012
|
|
EE168: Introduction to Digital Image Processing Winter 2011-2012 Syllabus The * items take place in the SCIEN Lab, Packard 021, usually on Fridays. Week 1. January 9 1) Introduction and organization, physics of vision, resolution, impulse response *2) Lab: Viewing digital images, bits and bytes, raster scan format, quantization Week 2. January 16 Monday, January 16 - MLK Holiday, no class 3) Linear systems, matrix transformations, scaling, translation and rotations *4) Lab: Scaling, translation and rotation, sums and differences Week 3. January 23
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 Week 4. January 30 8) The frequency domain, power spectral density, the FFT 9) Digital filtering, image enhancement, noise *10) Lab: Fourier transforms and the frequency domain, filters Week 5. February 6 11) Color representation, RGB, HSI, 24 bit and 8 bit color tables 12) Storing multiple images in 8 bits, color table swaps *13) Lab: Color basics Week 6. February 13 14) Midterm exam, Monday, Feb. 13 15) Interpolation methods, accuracy vs. efficiency, forward and backward methods *16) Lab: Image interpolation Week 7. February 20 Monday, February 20 - President's Day, no class 17) Topography and shaded relief displays, contours, parallax and stereo *18) Lab: Perspective viewing and anaglyphs Week 8. February 27 19) Geometric and spatial transforms, restoring distortion 20) Fitting smooth functions to sparse data, least-squares *21) Lab: Rubber sheeting of images Week 9. March 5 22) Image morphing 23) False color images, principle components analysis *24) Lab: Creating multiple image sequences for the project Week 10. March 1225) More advanced topics in image processing *26) Student presentations: computer animations 1 *27) Student presentations: computer animations 2
|