Minors (your choice)

Level of knowledge :

N1: beginner
N2: intermediate
N3: confirmed
N4: expert

The knowledge (skills) expected at the end of EU courses

Know the possible encodings of a digital image and the different color spaces: (C1, N1)
Know the complete imaging chain (acquisition/restitution), the characteristics of the human visual system and the principles of stereovision: (C1, N1)
Understand the notion of histogram: (C1, N1)
Acquire the notions of digital image processing (point-to-point operators, filtering, edge detection) and the fields of application: (C1, N2)
Know the influence of poles and zeros on the frequency response of a filter beyond their exploitation to characterize the stability or the minimum-phase or linear-phase nature of a filter: (C2, N2)
Know the principles of modeling a signal such as a speech signal and the underlying estimation issues: (C2, N2)
Know and understand the contribution of adapted filtering in various applications (mobile communications, radar, etc.).) (C2, N1)

Learning outcomes in terms of abilities, skills and attitudes expected at the end of the course

Master the display of a digital image: (C2, N1)
Master the use of the Fourier transform to analyze the frequency content of a digital image (calculation and display, windowing, resolution): (C2, N2)
Use convolutional filters to average or estimate first derivatives: (C2, N1)
Apply non-linear filtering of order (min, max, median): (C2, N1)
Use the various concepts of signal processing to synthesize a digital filter meeting the required specifications: (C2, N2)