The goal of this subject is to provide the student with an introduction to signal processing techniques with application to speech, audio, image and video. To that end, a ¿Project-Based Learning Approach¿ is followed. The emphasis is put on lab exercises, so that the student can be assessed according to her work on a mini project.
For shortening reasons, the subject focuses on image processing by means of a mini project.
1.- Course Presentation
2.- Fundamentals and Traditional Image Processing Techniques
2.1. Digital image. Color spaces
2.2. Point operations
2.3. Filters. Edge detection
2.4. Image segmentation
2.5. Image classification
3.- Introduction to CNNs and their Applications in Computer Vision
3.1. Neural Networks. Deep Neural Networks
3.2. Convolutional Neural Networks
3.3. Applications in Computer Vision