Reconstruction of three-dimensional chemiluminescence images with a maximum entropy deconvolution algorithm

2012 ◽  
Vol 51 (11) ◽  
pp. 1671 ◽  
Author(s):  
Kathryn R. Gosselin ◽  
Michael W. Renfro
Keyword(s):  
Maximum Entropy ◽  
Three Dimensional ◽  
Deconvolution Algorithm ◽  
Maximum Entropy Deconvolution

scholarly journals Three-dimensional α-particle imaging of laser-driven implosions

1994 ◽  
Vol 12 (1) ◽  
pp. 1-11 ◽  
Author(s):  
A.P. Fews ◽  
M.J. Lamb ◽  
M. Savage
Keyword(s):  
Maximum Entropy ◽  
Three Dimensional ◽  
Two Dimensional ◽  
Penumbral Imaging ◽  
Deconvolution Algorithm ◽  
Maximum Entropy Deconvolution ◽  
Minimal Quantity ◽  
Particle Imaging ◽  
Α Particles ◽  
Number Of Particles

A technique is demonstrated for optimally generating three-dimensional reconstructions of images formed using a minimal quantity of data. The results are illustrated using thermonuclear α-particles from laser-driven implosions. The images are generated with a maximum entropy deconvolution algorithm from sets of three or four penumbral imaging cameras. It is demonstrated that this approach provides superior resolution and reveals structures not visible from the corresponding two-dimensional reconstructions of the constituent data. This technique can be successfully applied even when the total number of particles recorded in the image is less than 1000.

SIMS Profile quantification by maximum entropy deconvolution

1993 ◽  
Vol 20 (8) ◽  
pp. 696-702 ◽  
Author(s):  
P. N. Allen ◽  
M. G. Dowsett ◽  
R. Collins
Keyword(s):  
Maximum Entropy ◽  
Maximum Entropy Deconvolution

scholarly journals Mammographic image restoration using maximum entropy deconvolution

2004 ◽  
Vol 49 (21) ◽  
pp. 4997-5010 ◽  
Author(s):  
A Jannetta ◽  
J C Jackson ◽  
C J Kotre ◽  
I P Birch ◽  
K J Robson ◽  
...  
Keyword(s):  
Image Restoration ◽  
Maximum Entropy ◽  
Mammographic Image ◽  
Maximum Entropy Deconvolution

A Three-Dimensional Deconvolution Algorithm Using Graphic Processors

2019 ◽  
Vol 30 (1) ◽  
pp. 80-90
Author(s):  
T. E. Romanenko ◽  
A. V. Razgulin
Keyword(s):  
Three Dimensional ◽  
Deconvolution Algorithm

Quantitative Image Processing in 3D

1998 ◽  
Vol 4 (S2) ◽  
pp. 442-443
Author(s):  
Ulf Skoglund
Keyword(s):  
Image Processing ◽  
Maximum Entropy ◽  
Three Dimensional ◽  
Small Radius ◽  
Noise Effects ◽  
High Frequencies ◽  
Quantitative Image ◽  
Dimensional Reconstruction ◽  
Electron Microscopes ◽  
Different Sources

Three-dimensional reconstructions from projections are usually ridden by noise from different sources. A common problem among many three-dimensional reconstruction techniques is the systematic absence of certain projections, but also the accidental absence of spurious projections. In these three-dimensional reconstructions such absences are visible as directional smearing due to convolution. Other convolution effects such as those due to the optics of the instrument used to record the data usually cause severe damping of high frequencies and even contrast reversal (common in images from electron microscopes).Several approaches to overcome these ‘noise’ effects in three-dimensional reconstructions have been developed, but they usually suffer from the very small radius of convergence. Very easily and commonly, the refinement iterations end up stuck in a premature choice of a minimum. We have developed another algorithm, constrained maximum entropy tomography (COMET), that in practice has been shown to overcome these problems.

scholarly journals Diffraction-Limited Far-Infrared Imaging of “Protostars”

1987 ◽  
Vol 115 ◽  
pp. 371-371
Author(s):  
Paul M. Harvey ◽  
Daniel F. Lester ◽  
Marshall Joy
Keyword(s):  
Maximum Entropy ◽  
Focal Plane ◽  
Infrared Imaging ◽  
Region Of Interest ◽  
Far Infrared ◽  
Analysis Techniques ◽  
Plane Image ◽  
Maximum Entropy Deconvolution ◽  
Spectral Frequency ◽  
Size Scales

New mapping and analysis techniques for NASA's Kuiper Airborne Observatory are described which permit us to obtain information of size scales of order 10″ in the far-infrared. Basically, the focal-plane image is highly oversampled while the telescope is scanned smoothly and repeatedly over the region of interest with a slit of size λ/D. Maximum-entropy deconvolution is then used to obtain spectral frequency information down to scales of ∼ λ/2D.

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