COURSE OUTLINESession 7
Image recovery - Part II (The stochastic perspective: Wiener, Bayesian, maximum likelihood and maximum a posteriori etc.)
Session 8
Information theory and lossless compression
Session 5
Image enhancement
Session 6
Image recovery - Part I (inverse filtering, constrained least squares, iterative restoration etc.)
Session 9
Image compression
Session 10
Video compression
Session 11
Image and video segmentation
Session 12
Sparsity – compressed sensing
Session 1
Introduction (human visual system, image formation, analog vs. digital, sampling and quantization, etc.)
Session 3
Discrete 2D Fourier Transform and sampling (frequency domain filtering)
Session 4
Motion estimation and color representation and processing.
Session 2
Signals and systems (convolution, correlation, filtering spatial domain, etc.)
Session 13
Geometric PDEs
Session 14
Image and video inpainting
Session 15
Final Exam