ECE637: Digital Image Processing I
Spring 2021
Purdue University
School of Electrical and Computer Engineering
Session 1: Introduction to Class
Session 2: Introduction to GitHub and C compiling
Session 3: The CTFT and CSFT
Session 4: 2D Transforms and Sinusoids Functions
Session 5: GitHub, Anaconda, and Compiling with C; Optical Imaging
Session 6: Tomographic Imaging
Session 7: The Radon Transform, and Beer's Law
Session 8: Convolution Back Projection (CBP)
Session 9: Magnatic Resonance Imaging (MRI)
Session 10: MRI>
Session 11: MRI>
Session 12: C-programing and the DTFT
Session 13: the DSFT
Session 14: Sampling and focal plane arrays
Session 15: FIR Filters
Session 16: Exam
Session 17: IIR Filters and Windowing
Session 18: Probability
Session 19: Properties of RVs and Random Processes
Session 20: Stationary Random Processes and Power Spectra
Session 21: Power Spectral Density
Session 22: Multivariate Gaussian Vectors
Session 23: Eigendecomposition and SVD
Session 24: SVD and Edge Detection
Session 25: Connected Components and Segmentation
Session 26: Intro to Color
Session 27: Achromatic Vision and Contrast
Session 28: Gamma Correction
Session 29: Color Matching
Session 30: The Color Matching Functions
Session 31: XYZ Color Matching Functions
Session 32: Additive and Substractive Color Spaces
Session 33: Chromaticity Coordinates
Session 35: Imaginary Colors and the Chromaticity Diagram
Session 36: Color Transforms
Session 37: Opponent Color
Session 38: Image Restoration
Session 39: MMSE and Least Squares Estimation
Session 40: Convolutional Neural Networks
Session 41: Convolutional Neural Networks
Session 42: Nonlinear Filters and M-Estimators
Session 43: Bilateral Filters and Non-Local Means Filters