Temario

Fundamentals
Digital Image Represention
Reading images
Displaying images
Writting images
Data clases
Image types
Converting between data classes and image types
Introducing to M Function Programming
Intensity Transformations an Spatial filtering
Intensity transformation functions
Histogram processing an function plotting
Spatial filtering
Image processing toolbox standard spatial filters
Frequency Domain Processing
The 2 – D Discrete Fourier transform
Computing and Visualizing the 2 – D DFT Matlab
Filtering in the frequency domain
Obtaining frequency directly in the frequency domain
Generating filters directly in the frequency domain
Sharpening frequency domain filters
Image Restoration
A model of the image degradation/restoration process
Noise models
Restoration in the presence of noise only – spatial filtering
Periodic noise reduction by frequency domain filtering
Modeling the degradation function
Direct inverse filtering
Wiener filtering
Constrained least squares
Geometric transformations and image registration