Imaging systems using modulation and coded aperture masks

1983 ◽  
Vol 3 (4) ◽  
pp. 73-82 ◽  
Author(s):  
A.J. Dean
2010 ◽  
Vol 18 (19) ◽  
pp. 19681 ◽  
Author(s):  
Peter R. T. Munro ◽  
Konstantin Ignatyev ◽  
Robert D. Speller ◽  
Alessandro Olivo

2010 ◽  
Author(s):  
Ana Claudia Raffo-Caiado ◽  
Alexander A Solodov ◽  
Najeb M Abdul-Jabbar ◽  
Jason P Hayward ◽  
Klaus-Peter Ziock

1976 ◽  
Vol 23 (1) ◽  
pp. 606-612
Author(s):  
Arden Steinbach ◽  
Albert Macovski

2010 ◽  
Vol 18 (5) ◽  
pp. 4103 ◽  
Author(s):  
Peter R. Munro ◽  
Konstantin Ignatyev ◽  
Robert D. Speller ◽  
Alessandro Olivo

DYNA ◽  
2016 ◽  
Vol 83 (195) ◽  
pp. 42-51 ◽  
Author(s):  
Claudia Victoria Correa Pugliese ◽  
Diana Fernanda Galvis Carreño ◽  
Henry Arguello Fuentes

The coded aperture snapshot spectral imager (CASSI) is an optical architecture that captures spectral images using compressive sensing. This system improves the sensing speed and reduces the large amount of collected data given by conventional spectral imaging systems. In several applications, it is necessary to analyze changes that occur between short periods of time. This paper first presents a sparsity analysis for spectral video signals, to obtain accurate approximations and better comply compressed sensing theory. The use of the CASSI system in compressive spectral video sensing then is proposed. The main goal of this approach is to capture the spatio-spectral information of dynamic scenes using a 2-dimensional set of projections. This application involves the use of a digital micro-mirror device that implements the traditional coded apertures used by CASSI. Simulations show that accurate reconstructions along the spatial, spectral and temporal axes are attained, with PSNR values of around 30 dB.


2008 ◽  
Author(s):  
Mark E. McNie ◽  
David O. King ◽  
Nicola Price ◽  
David J. Combes ◽  
Gilbert W. Smith ◽  
...  

2008 ◽  
Author(s):  
A. Mahalanobis ◽  
C. Reyner ◽  
T. Haberfelde ◽  
Mark Neifeld ◽  
B. V. K. Vijaya Kumar

2021 ◽  
Author(s):  
Nitin Dubey ◽  
Joseph Rosen

Abstract Interferenceless coded aperture correlation holography (I-COACH) is an incoherent digital holographic technique with lateral and axial resolution similar to a regular lens-based imaging system. The properties of I-COACH are dictated by the shape of the system’s point response termed point spread hologram (PSH). As previously shown, chaotic PSHs which are continuous over some area on the image sensor enable the system to perform three-dimensional (3D) holographic imaging. We also showed that a PSH of an ensemble of sparse dots improves the system’s signal-to-noise ratio (SNR) but reduces the dimensionality of the imaging from three to two dimensions. In this study, we test the midway shape of PSH, an ensemble of sparse islands distributed over the sensor plane. A PSH of isolated chaotic islands improves the SNR of the system compared to continuous chaotic PSH without losing the capability to perform 3D imaging. Reconstructed images of this new system are compared with images of continuous PSH, dot-based PSH, and direct images of a lens-based system. Visibility, SNR, and the product of visibility with SNR are the parameters used in the study. We also demonstrate the imaging capability of a system with partial annular apertures. The reconstruction results have better SNR and visibility than lens-based imaging systems with the same annular apertures.


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