need help in preparing for image processing course

i need help in preparing for image processing you must understand and teach me : Important Points Image Processing Def Our Vision System Images types (binary, Gray-level, 24-bit colored, 8-bit colored) Pixel relationships Image measurements SNR, MSE Image Segmentation Thresholding -Single Thresholding - Double Thresholding - Applications Pro. and Con - Adaptive Thresholding Edge Detection what and why Derivatives and Edges Edge Detection Filters 2nd derivatives - the Laplacian - Zero crossing Hough Transforms Types of DIP operations Point Processing (addition, multiply, division,)—Histogram, Stretching, conversion to B& W gray and other formats 1- Image Restoration definition and errors How to model degradation Noise and Types -Salt and Pepper Noise and its other names and how it appears - Gaussian Noise and its other names and how it appears - Speckle Noise and its other names and how it appears _ Periodic Noise and its other names and how it appears Clearing Noise SALT&pEPPER ---> low pass filtering Median Filtering RankOrder Filtering Gaussian Noise Image Averaging Average filtering Periodic Noise Band Reject Filtering Notch Filtering Inverse Filtering Motion Deblurring Wiener Filtering Neighborhood Processing