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ECE 637: Digital Image Processing I

ECE 637: Digital Image Processing I (Spring 2011, Purdue University). Instructor: Professor Charles A. Bouman. Introduction to digital image processing techniques for enhancement, compression, restoration, reconstruction, and analysis. Lecture and laboratory experiments covering a wide range of topics including 2-D signals and systems, image analysis, image segmentation; achromatic vision, color image processing, color image systems, image sharpening, interpolation, decimation, linear and nonlinear filtering, printing and display of images; image compression, image restoration, and tomography. (from engineering.purdue.edu)

Lecture 15 - IIR Filters and Random Variables


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Lecture 01 - Introduction
Lecture 02 - Continuous Time Fourier Transform and Continuous Space Fourier Transform
Lecture 03 - CSFT and Rep and Comb Relations
Lecture 04 - Optical Image Systems
Lecture 05 - Helical Scan Multislice CT (Computed Tomography) and PET (Positron Emission Tomography)
Lecture 06 - Tomographic Reconstruction: Fourier Slice Theorem and Filtered Back Projection
Lecture 07 - FBP (Filtered Back Projection) and Magnetic Resonance Imaging (MRI)
Lecture 08 - MRI Reconstruction
Lecture 09 - MRI and C-Programming
Lecture 10 - C-Programming
Lecture 11 - DTFT, DSFT, Sampling, and Reconstruction
Lecture 12 - 2-D Reconstruction and Focal Plane Arrays
Lecture 13 - Sampling and Reconstruction for Focal Plane Arrays
Lecture 14 - FIR and IIR Filters
Lecture 15 - IIR Filters and Random Variables
Lecture 16 - Random Variables and Random Processes
Lecture 17
Lecture 18 - Power Spectral Density and AR Processes
Lecture 19 - Eigen Signal Analysis
Lecture 20 - Eigen Signal Analysis and Edge Detection
Lecture 21 - Edge Detection and Connected Component Analysis
Lecture 22 - Segmentation, Clustering, and Color Vision Illusions
Lecture 23 - Achromatic Vision
Lecture 24 - Contrast, CSF (Contrast Sensitivity Function), and Achromatic Image Quality Metrics
Lecture 25 - Color Matching Functions
Lecture 26 - Color Matching Functions and Subtractive Color Systems
Lecture 27 - Subtractive Color Systems, Chromaticity Diagrams
Lecture 28 - Chromaticity Diagrams and White Point
Lecture 29 - White Point, Color Transforms, and sRGB
Lecture 30 - More Color Transforms
Lecture 31 - More Quality Metrics and Rate Conversion
Lecture 32 - Rate Conversion
Lecture 33 - Rate Conversion and Image Restoration
Lecture 34 - Image Restoration and Nonlinear Filtering
Lecture 35
Lecture 36 - Nonlinear Filtering and M-Estimators
Lecture 37 - Halftoning and Ordered Dither
Lecture 38 - Error Diffusion
Lecture 39 - Error Diffusion and RAPS
Lecture 40 - Entropy and Source Coding
Lecture 41 - Entropy and Source Coding
Lecture 42 - Lossy Source Coding and Rate-Distortion Theory
Lecture 43 - Rate-Distortion Theory
Lecture 44 - JPEG Image Coding