Dynamical Imaging using Spatial Nonlinearity
Abstract
In this proposal, we used spatial nonlinearity as a degree of freedom for imaging. Mode mixing in nonlinear systems enables them to surpass many fundamental limits of conventional (linear) imaging, such as resolution and field of view, and can overcome many of its basic trade-offs, including resolution vs. contrast and signal vs. noise. The work expanded Abbe s 1873 theory of diffraction to include spatial nonlinearity, prompted new experimental methods of phase-space measurement, and facilitated the discovery of new optical dynamics. The results generalized the field of computational imaging, on both the physical and algorithmic layers, by introducing new spatial interactions between amplitude and phase. They also raised many new and outstanding issues that need to be addressed, such as the best types of nonlinearity to use, the uniqueness and robustness of solutions, the levels of improvement possible, and the information capacity of nonlinear systems. These issues lay the foundation for future work.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 29, 2014
- Accession Number
- ADA597107
Entities
People
- Jason W Fleischer
Organizations
- Princeton University