Image and Video Processing Techniques

Description

This course offers an overview of different techniques used to process image and video. It is a practical approach focused on developing the ability to solve a complex case of image processing by combining different techniques.

Recommended knowledge

• Programming skills (C, C++)
• Basic knowledge of algebra and calculation (concepts of matrices, vector spaces, projections, plane geometry, partial derivatives, etc.)
• Basic knowledge of statistics (notion of random and mean variable, variance, correlation, etc.)
• Basic knowledge of signal theory (concept of convolution, discrete filter, frequency response, etc.)

Evaluation

Reports of each of the practices related to the topics taught.

A final project about the concepts taught in the subject.

Learning Units

• 1.Introduction
• 2.Intensity Transformations
• 3.Linear Filtering
• 4.Geometric transformations
• 5.Morphology
• 6.Segmentation and Classification
• 7.Features extraction
• 8.Project

Professor

Antonio Albiol Colomer