|SCIENTIFIC DISCIPLINARY SECTOR||MAT/08|
|LANGUAGE||Italian (English on demand)|
This course consists of 35 hours of lectures. Moreover, 15 laboratory hours have been planned. According to policy actions needed to get control of the COVID-19 pandemic, part of the lessons will be held in e-learning mode.
The course objective is to provide specialized mathematical training on the proper methods of reconstruction and image processing with particular reference to the processing of astronomical images.
The aim of this course is to provide students with basic and advanced mathematical methods for a theoretical analysis and practical solutions of problems in image reconstruction and image processing with specific applications in astronomical imaging. To this aim data from the most recent NASA and ESA missions will be at disposal.
Each topic will be addressed in a self-consistent way
According to policy actions needed to get control of the COVID-19 pandemic, part of the lessons will be held in e-learning mode.
Basics of image processing: 1) Digital images: sampling and quantization. 2) Image formation and image recording: blurring and noise. 3) Point Spread Function. 4) Imaging systems in the frequency domain. Transfer function. 5) Filtering in the frequency domain.
Astronomical image processing:
Office hours: Appointment via email
Office hours: Office hours by appointment via email
Anna Maria MASSONE (President)
MICHELE PIANA (President Substitute)
Lessons will start according to the academic calendar.
Oral exam (the admission to the oral exam is subject to the approval of the practical exercises during the semester)