Noise and System Modeling

Catalog description

This course develops the concepts of noise modeling and random processes within the context of imaging systems. After a brief review of probability theory, the concept of image noise is introduced. Random processes are considered in both the spatial and spatial frequency domains, with emphasis on the autocorrelation function and power density spectrum. Finally, the principles of random processes are applied to signal and noise transfer in multistage imaging systems. At the completion of the course the student will be able to model signal and noise transfer within a multistage imaging system.