This course introduces the principles of how light interacts with matter. The principles of atomic physics as applied to simple atoms are reviewed and extended to multi-electron atoms to interpret their spectra. Molecular structure and spectra are covered in depth, including the principles of lasers. The concepts of statistical physics concepts are introduced and applied to the structure of crystalline solids, their band structure and optical properties. These concepts are then used to understand electronic imaging devices, such as detectors.

This course develops models of noise and random processes within the context of imaging systems. The focus will be on stationary random processes in the spatial and spatial frequency domain. The concept of image noise is introduced in both the analog and digital domain. Random processes are studied in both the spatial and spatial frequency domain stressing the autocorrelation function and the power density spectrum. The application of random processes to the understanding of signal noise in imaging systems in both the continuous and the digital domains is presented. Tools for modeling signal and noise transfer are emphasized. At the completion of the course the student should have the ability to model signal and noise transfer within a multistage imaging system.

This course is a cooperative education experience for graduate imaging science students.

Masters-level research by the candidate on an appropriate topic as arranged between the candidate and the research advisor.

This course is a faculty-directed tutorial of appropriate topics that are not part of the formal curriculum. The level of study is appropriate for student in their graduate studies.

Doctoral-level research by the candidate on an appropriate topic as arranged between the candidate and the research advisor.

Continuation of Thesis