Chapter 01: Basic Tools Sampling Histogram equalization Border handling Linear filters

Chapter 02: Advanced Filtering Gaussian filter denosing Bilateral gaussian filter Bilater gaussian filter denoising Guided image filter Image matting with guided image filter Median and weighted median filter

Chapter 03: Density Estimation Wiener filter denoising Gaussian mixture model denoising Parzenwindow vs. kNN Kernel density estimation Mean-shift for image segmentation

Chapter 04: Scale and Frequency Analysis High and low pass filtering Frequency decomposition Fast Fourier transform

Chapter 05: Graphical Models Image Labeling

Chapter 06: Partial Differential Equations Homogeneous diffusion Inhomogeneous diffusion Anisotropic Diffusion

Chapter 07: Total Variation Denoising Deblurring Inpainting

Chapter 08: Motion Estimation Lucas Kanade Horn-Schunck TV-l1

Other Morphology