Jiri Jan: Introduction to Biomedical Signal Analysis

Recorded at Tallinn University of Technology, November 2007.

(Flash, 360x270 pix + 720x540 pix)
How to view the video files is found from: "Technical Requirements".

W	Welcome
1	Introduction to Selected Concepts Overview of the lectures (No voice in this lecture) Part I: Images as Multidimensional Signals Analogue (Continuous) Images      Images as Signals      Some 2D Elementary Signals      Harmonic 2D Signals 2D systems – Description in the Original Domain
2	Classification of 2D systems      2D Linear Systems      Physical Interpretation of the Superposition Integral 2D Fourier Transform      Definition of the Forward Transform      Definition of the 2D Inverse Transform
3	Physical Interpretation of the 2D FT      Basic Properties of the 2D FT 2D Systems – Description in the Frequency Domain      Stochastic Images
4	Digital Image Representation      Grey-Scale Histogram      Reconstruction of Continuous Images from Samples Discrete 2D Operators      Discrete 2D Linear Operators      Separable Linear Operators
5	Local Operators      Convolution Operators      Nonlinear Operators      Order Statistics Operators
6	Part III: Reconstruction of Images from Tomographic Projections Representation of an Image by Projection      Radon Transform Algebraic Methods of Reconstruction      Principle of the Iterative Solution of the Equations
7	Reconstruction via Frequency Domain      Reconstruction Based on the Slice Theorem Filtered Back Projection
8	Steps of the FBP Reconstruction in Discrete Environment Reconstruction from Fan Projections      Geometry of Measurement      Conversation into Parallel Projections      Weighted and Filtered Back Projection
9	Part II: Image Enhancement Contrast Transforms      Piecewise Linear Contrast Transform      Histogram Equalization
10	Pseudo-Coloring Image Sharpening and Edge Enhancement      Difference Approximations of Derivatives in Discrete Environment      Approximations of Isotropic Operators      Sharpening Operators      Sharpening via Frequency Domain      Adaptive Sharpening
11	Noise Suppression      Classification of Noise      Suppression of Narrow-Band Noise      Suppression of Wideband "Grey" Noise      "Smart" Smoothing      Suppression of impulse Noise      Detection of False Pixels      Suppression of Impulse Noise by Median Filtering