This course provides an introduction to the signal processing methods used to increase image resolution. Specifically, it provides attendees with the practical knowledge to estimate the benefits of using super resolution in an imaging system as well as the guidance to select the right super resolution method for a given application.
The course is divided into three parts. In the first part, we describe the fundamental limits to resolution in an imaging system and establish the necessity of using signal processing as a mean to achieve super resolution. In the second part we focus on different super resolution techniques. Specifically, we cover defocus based techniques, zoom based techniques, photometry based techniques and edge enhancement based techniques.
In the third part of the course we provide some real life examples from various imaging fields to establish how the super resolution techniques work. The attendee will therefore benefit from a concise and realistic overview of current signal processing methods for super resolution, and thus be able to make the right decision when it comes to accessing the potential use of super resolution for a specific product development.