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Channels: Image Processing Training Courses

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Shadi Ashnai

This video is a quick introduction to Mathematica's highly optimized image processing tools and powerful functions for analyzing and manipulating image data. Shadi Ashnai demonstrates how Mathematica 9 exhibits these features across several different types of image processing applications.
Markus van Almsick
This video explains the principles of volume rendering and the art of constructing the right transfer functions. Markus van Almsick explores the drawbacks and extravagant possibilities of this new visualization modality and applies it to real-world data.
Timothy Kirchner
This Wolfram Training course explores the depth of Mathematica's image processing capabilities, how they integrate with other features, and how they can be combined to create powerful interactive tools.
Markus van Almsick

This video discusses how to apply Mathematica's large range of image processing tools to problem solving in several different application areas. Markus van Almsick demonstrates Image processing tasks, including some not-so-serious examples.
Paritosh Mokhasi
Wavelet analysis has been applied to a broad range of fields. In this Wolfram Training on-demand course, examples are presented from applications including financial time series, edge detection and denoising of images, thresholding, image and data compression, and image fusion.
Paritosh Mokhasi
This Wolfram Training on-demand course covers continuous, discrete, and stationary wavelet transforms, as well as wavelet algorithms and visualizations.