This technology is an algorithm to derive precise point spread function allowing the recovery of exact images.
Current methods to generate point spread function (PSF), targeting the accuracy of an imaging system, are approximations based on specified metrics. They lack control over the precision of the derived PSF, which affects image blurring and the background level. Although they are commonly used in imaging systems to improve the image quality, there is no algorithm that can generate precise PSF or revise existing ones.
This technology determines the PSF using a mathematical algorithm and partially occulted images, returning more accurate PSFs than do current state-of-the-art methods. This higher level of precision is possible through combining the advantages of empirical methods and blind deconvolution methods. The method can be adjusted to any imaging system using electrodynamic or matter waves. This highly adaptable technology can be used to calculate an unknown PSF, incorporate a priori knowledge about the PSF, and revise and correct existing approximations of PSFs.
This technology has been validated in an optical imaging system.
Patent Pending
IR CU22016
Licensing Contact: Dovina Qu