A three-dimensional (3-D) point spread function (PSF) model for wide-field fluorescence microscopy, suitable for imaging samples with variable refractive index (RI) in multilayered media, is presented. This PSF model is a key component for accurate 3-D image restoration of thick biological samples, such as lung tissue. Microscope- and specimen-derived parameters are combined with a rigorous vec...

The point spread function (PSF) for astronomical telescopes and instruments depends not only on geometric aberrations and scalar wave diffraction, but also on the apodization and wavefront errors introduced by coatings on reflecting and transmitting surfaces within the optical system. The functional form of these aberrations, called polarization aberrations, result from the angles of incidence ...

This paper addresses the problem of joint image reconstruction and point spread function (PSF) estimation when the PSF of the imaging device is only partially known. To solve this semi-blind deconvolution problem, prior distributions are specified for the PSF and the 3D image. Joint image reconstruction and PSF estimation is then performed within a Bayesian framework, using a variational algori...

Stability of the Partial Singular Value Decomposition Filter (PSF) [1] for solving the filtering problems in high dimensional systems is studied from the point of view of the theory of reduced-order adaptive filters (ROAF) [2]. The question on modification of the structure of the PSF for adaptation purpose is also addressed. Numerical examples as well as twin-experiments for assimilation in the...

Coronagraphic imaging reduces PSF wings by 0.6 mag using Keck adaptive optics in the NIR, and 1.5 mag using ACS in the visible. The PSF suppression attained is roughly comparable for the two instruments. Future work should test the relative contrast gains from PSF subtractions.

Blind deconvolution microscopy, the simultaneous estimation of the specimen function and the point spread function (PSF) of the microscope is an under-determined problem with non-unique solutions. The non-uniqueness is commonly avoided by enforcing constraints on both the specimen function and the PSF, such as non-negativity and band limitation. These constraints are some times enforced in ad h...

Contrary to common assumptions in the literature, the blur kernel corresponding to lens-effect blur has been demonstrated to be spatially-varying across the image plane. Existing models for the corresponding point spread function (PSF) are either parameterized and spatially-invariant, or spatially-varying but ad-hoc and discretelydefined. In this paper, we develop and present a novel, spatially...

The averaged point-spread function (PSF) estimation of an image acquisition system is important for many computer vision applications, including edge detection and depth from defocus. The paper compares several mathematical models of the PSF and presents an improved measurement technique that enables subpixel estimation of 2D functions. New methods for noise suppression and uneven illumination ...

A new instrument to measure the point spread function (PSF) in the ocean is described. This instrument uses a CCD solid state camera to measure the angular radiance field due to a pulsed Lambertian source. In this way the PSF can be measured easily at sea, when precise alignments over ranges >10 m cannot be maintained. With the large dynamic range of the camera system, the PSF can be measured o...