Diffraction tomographic imaging algorithms II: Random data inversion and super-resolution

Author(s):

Konstantinos G. Girtis ◽

George A. Tsihrintzis

Keyword(s):

Super Resolution ◽

Tomographic Imaging ◽

Random Data ◽

Data Inversion ◽

Advances in Intelligent Systems and Computing - Advances in Signal Processing and Intelligent Recognition Systems ◽

Development of Tomographic Imaging Algorithms for Sonar and Radar

10.1007/978-3-319-28658-7_25 ◽

2015 ◽

pp. 285-296

Author(s):

Ashish Roy ◽

Supriya Chakraborty ◽

Chinmoy Bhattacharya

Keyword(s):

Tomographic Imaging ◽

A comparison between ultrasonic array beamforming and super resolution imaging algorithms for non-destructive evaluation

Ultrasonics ◽

10.1016/j.ultras.2013.12.012 ◽

2014 ◽

Vol 54 (7) ◽

pp. 1842-1850 ◽

Cited By ~ 46

Author(s):

Chengguang Fan ◽

Mihai Caleap ◽

Mengchun Pan ◽

Bruce W. Drinkwater

Keyword(s):

Super Resolution ◽

Non Destructive Evaluation ◽

Ultrasonic Array ◽

Resolution Imaging ◽

Array Beamforming ◽

Imaging Algorithms ◽

Non Destructive

Comparison between beamforming and super resolution imaging algorithms for non-destructive evaluation

10.1063/1.4864817 ◽

2014 ◽

Author(s):

Chengguang Fan ◽

Bruce W. Drinkwater

Keyword(s):

Super Resolution ◽

Non Destructive Evaluation ◽

Resolution Imaging ◽

Imaging Algorithms ◽

Non Destructive

Super-resolution in confocal scanning microscopy: IV. Theory of data inversion by the use of optical masks

Inverse Problems ◽

10.1088/0266-5611/8/1/001 ◽

1992 ◽

Vol 8 (1) ◽

pp. 1-23 ◽

Cited By ~ 17

Author(s):

M Bertero ◽

P Boccacci ◽

R E Davies ◽

F Malfanti ◽

E R Pike ◽

...

Keyword(s):

Super Resolution ◽

Scanning Microscopy ◽

Data Inversion ◽

Confocal Scanning ◽

Confocal Scanning Microscopy

III Super-Resolution by Data Inversion

Progress in Optics ◽

10.1016/s0079-6638(08)70314-7 ◽

1996 ◽

pp. 129-178 ◽

Cited By ~ 28

Author(s):

Mario Bertero ◽

Christine de Mol

Keyword(s):

Super Resolution ◽

Data Inversion

Integrating Backscatter X-Ray Imaging with Super-Resolution Imaging Algorithms for Plant Phenotyping

10.13182/t31127 ◽

2019 ◽

Author(s):

J. Baciak ◽

S. Cui ◽

J. Nimmagadda ◽

J. Ruiz-Munoz ◽

A. Zare

Keyword(s):

Super Resolution ◽

Plant Phenotyping ◽

X Ray ◽

X Ray Imaging ◽

Resolution Imaging ◽

2017 7th IEEE International Conference on Electronics Information and Emergency Communication (ICEIEC) ◽

A review of super-resolution inverse synthetic aperture radar imaging algorithms

10.1109/iceiec.2017.8076522 ◽

2017 ◽

Author(s):

Xiaoxiu Zhu ◽

Wenhua Hu ◽

Baofeng Guo

Keyword(s):

Synthetic Aperture Radar ◽

Super Resolution ◽

Radar Imaging ◽

Synthetic Aperture ◽

Inverse Synthetic Aperture Radar ◽

Imaging Algorithms ◽

Aperture Radar

Comparison of inverse scattering and other tomographic imaging algorithms using simulated and tank data for modeling subbottom imaging systems

Proceedings of OCEANS '93 ◽

10.1109/oceans.1993.325959 ◽

2002 ◽

Author(s):

S.A. Johnson ◽

M.J. Berggren ◽

D.T. Borup ◽

J.W. Wiskin ◽

R.S. Eidens ◽

...

Keyword(s):

Inverse Scattering ◽

Tomographic Imaging ◽

Imaging Systems ◽

Microwave imaging for breast cancer detection: Comparison of tomographic imaging algorithms using single-frequency and time-domain data

2011 XXXth URSI General Assembly and Scientific Symposium ◽

10.1109/ursigass.2011.6051370 ◽

2011 ◽

Author(s):

Tonny Rubdok ◽

Andreas Fhager ◽

Peter Damsgaard Jensen ◽

Johan Jacob Mohr ◽

Mikael Persson

Keyword(s):

Breast Cancer ◽

Cancer Detection ◽

Time Domain ◽

Tomographic Imaging ◽

Microwave Imaging ◽

Breast Cancer Detection ◽

Single Frequency ◽

Time Domain Data ◽

Diffraction tomographic imaging algorithms III: angularly limited data

Journal of Discrete Mathematical Sciences and Cryptography ◽

10.1080/09720529.2004.10697995 ◽

2004 ◽

Vol 7 (2) ◽

pp. 133-159

Author(s):

Konstantinos G. Girtis ◽

George A. Tsihrintzis

Keyword(s):

Tomographic Imaging ◽

Limited Data ◽