Wavelets were introduced relatively recently, in the beginning of the 1980s. They attracted considerable interest from the mathematical community and from members of many diverse disciplines in which wavelets had promising applications. In this course we present an academia introduction of wavelets and the concepts to apply in analysis of image processing.

In this course we present computational aspects of the image processing using Matlab with the toolboxes: image processing, signal processing and wavelet. In particular, we show simulations and applications of some concepts of the first course as: Discrete Fourier Transform (DFT), Fast Fourier Transfrom (FFT), Wavelets. These are applied to the image compression, the denoising, the festure detection an the watermaking.

 

Instructors:

• Vicent Caselles (UPF)
• Nuria González (UVigo)
• Julio Martín (UVigo)