Results 151 to 160 of about 25,862 (211)

Ring deconvolution microscopy: exploiting symmetry for efficient spatially varying aberration correction. [PDF]

Nat Methods
Kohli A, Angelopoulos AN, McAllister D, Whang E, You S, Yanny K, Gasparoli FM, Chang BJ, Fiolka R, Waller L.   +9 more
europepmc   +1 more source

Joint estimation of point spread function and molecule positions in SMLM informed from multiple planes. [PDF]

Biomed Opt Express
Maloberti JG, Velas L, Moser S, Gaugutz A, Bishara M, Schütz GJ, Jesacher A.   +6 more
europepmc   +1 more source

From Disordered to Ordered: Nanoscale Spectroscopy Reveals Structural Evolution of Amyloid Beta 40 Fibrils. [PDF]

Chemphyschem
Baghel D, Naik T, Banerjee S, Edmonds HO, Ghosh A.   +4 more
europepmc   +1 more source

Measurement effects on critical scaling in neural systems. [PDF]

Front Comput Neurosci
Li MS, Liu B, van Antwerp KW, Abdelaleem E, Sederberg AJ.   +4 more
europepmc   +1 more source

High-resolution imaging mass cytometry to map subcellular structures. [PDF]

Nat Methods
Bollhagen A, Whipman J, Coelho R, Heinzelmann-Schwarz V, Jacob F, Bodenmiller B.   +5 more
europepmc   +1 more source

Improved biometric quantification in 3D ultrasound biomicroscopy via generative adversarial networks-based image enhancement. [PDF]

J Imaging Inform Med
Minhaz AT, Murali A, Örge FH, Wilson DL, Bayat M.   +4 more
europepmc   +1 more source

A bearing fault diagnosis method based on hybrid artificial intelligence models. [PDF]

PLoS One
Sun L, Tao X, Lu Y.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Understanding Blind Deconvolution Algorithms

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011
Blind deconvolution is the recovery of a sharp version of a blurred image when the blur kernel is unknown. Recent algorithms have afforded dramatic progress, yet many aspects of the problem remain challenging and hard to understand. The goal of this paper is to analyze and evaluate recent blind deconvolution algorithms both theoretically and ...
Anat Levin
exaly   +3 more sources

Blind image deconvolution

IEEE Signal Processing Magazine, 1996
The goal of image restoration is to reconstruct the original scene from a degraded observation. This recovery process is critical to many image processing applications. Although classical linear image restoration has been thoroughly studied, the more difficult problem of blind image restoration has numerous research possibilities.
Deepa Kundur
exaly   +2 more sources

Blind image deconvolution revisited

IEEE Signal Processing Magazine, 1996
The article discusses the major approaches, such as projection based blind deconvolution and maximum likelihood restoration, we overlooked previously (see ibid., no.5, 1996). We discuss them for completeness along with some other works found in the literature.
Deepa Kundur
exaly   +2 more sources