Photoacoustic tomography image restoration with measured spatially variant point spread functions
The spatial resolution of photoacoustic tomography (PAT) can be characterized by the point
spread function (PSF) of the imaging system. Due to the tomographic detection geometry …
spread function (PSF) of the imaging system. Due to the tomographic detection geometry …
Large-FOV 3D localization microscopy by spatially variant point spread function generation
D **ao, R Kedem Orange, N Opatovski, A Parizat… - Science …, 2024 - science.org
Accurate characterization of the microscopic point spread function (PSF) is crucial for
achieving high-performance localization microscopy (LM). Traditionally, LM assumes a …
achieving high-performance localization microscopy (LM). Traditionally, LM assumes a …
Estimation of motion blur kernel parameters using regression convolutional neural networks
Many deblurring and blur kernel estimation methods use a maximum a posteriori approach
or deep learning-based classification techniques to sharpen an image and/or predict the …
or deep learning-based classification techniques to sharpen an image and/or predict the …
Modeling point spread function in fluorescence microscopy with a sparse gaussian mixture: Tradeoff between accuracy and efficiency
DK Samuylov, P Purwar, G Székely… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Deblurring is a fundamental inverse problem in bioimaging. It requires modeling the point
spread function (PSF), which captures the optical distortions entailed by the image formation …
spread function (PSF), which captures the optical distortions entailed by the image formation …
Estimation of non-uniform motion blur using a patch-based regression convolutional neural network
The non-uniform blur of atmospheric turbulence can be modeled as a superposition of linear
motion blur kernels at a patch level. We propose a regression convolutional neural network …
motion blur kernels at a patch level. We propose a regression convolutional neural network …
Multiplexed wavefront sensing with a thin diffuser
In astronomy or biological imaging, refractive index inhomogeneities of, eg, atmosphere or
tissues, induce optical aberrations that degrade the desired information hidden behind the …
tissues, induce optical aberrations that degrade the desired information hidden behind the …
Simulation of inverse Fredholm reconstruction in a vignetting zone: application to ASPIICS
C Theys, C Aime, R Rougeot, H Lantéri - Astronomy & Astrophysics, 2022 - aanda.org
Aims. This work deals with image reconstruction in a vignetting zone where the point spread
function becomes evanescent and the image undergoes a Fredholm transformation. The …
function becomes evanescent and the image undergoes a Fredholm transformation. The …
Restoration of out-of-focus fluorescence microscopy images using learning-based depth-variant deconvolution
Image quality is degraded in the out-of-focus region because of the depth-variant (DV) point
spread function (DV-PSF) of a fluorescence microscope. Either non-blind or blind …
spread function (DV-PSF) of a fluorescence microscope. Either non-blind or blind …
Imaging through deconvolution with a spatially variant point spread function
We demonstrate a technique for restoring imagery using a computational imaging camera
with a phase mask that produces a blurred, space-variant point spread function (PSF). To …
with a phase mask that produces a blurred, space-variant point spread function (PSF). To …
Restoration from multispectral blurred data with non-stationary instrument response
In this paper we propose an approach of image restoration from multispectral data provided
by an imaging system. We specifically address two topics:(i) Development of a multi …
by an imaging system. We specifically address two topics:(i) Development of a multi …