Compressed sensing snapshot spectral imaging by a regular digital camera with an added optical diffuser

2016 ◽  
Vol 55 (3) ◽  
pp. 432 ◽  
Author(s):  
Michael A. Golub ◽  
Amir Averbuch ◽  
Menachem Nathan ◽  
Valery A. Zheludev ◽  
Jonathan Hauser ◽  
...  
2020 ◽  
Vol 59 (4) ◽  
pp. 1058 ◽  
Author(s):  
Jonathan Hauser ◽  
Michael A. Golub ◽  
Amir Averbuch ◽  
Menachem Nathan ◽  
Valery A. Zheludev ◽  
...  

Author(s):  
Jonathan Hauser ◽  
Michael A. Golub ◽  
Amir Averbuch ◽  
Menachem Nathan ◽  
Valery A. Zheludev ◽  
...  

2020 ◽  
Vol 13 (2) ◽  
pp. 290-301
Author(s):  
刘铭鑫 LIU Ming-xin ◽  
张 新 ZHANG Xin ◽  
王灵杰 WANG Ling-jie ◽  
史广维 SHI Guang-wei ◽  
吴洪波 WU Hong-bo ◽  
...  

2020 ◽  
Vol 59 (26) ◽  
pp. 7853 ◽  
Author(s):  
Jonathan Hauser ◽  
Amir Averbuch ◽  
Menachem Nathan ◽  
Valery A. Zheludev ◽  
Michael Kagan ◽  
...  

Author(s):  
E. K. Webb ◽  
S. Robson ◽  
L. MacDonald ◽  
D. Garside ◽  
R. Evans

Spectral and 3D imaging techniques are used for museum imaging and cultural heritage documentation providing complementary information to aid in documenting the condition, informing the care, and increasing our understanding of objects. Specialised devices for spectral and 3D imaging may not be accessible for many heritage institutions, due to cost and complexity, and the modification of a consumer digital camera presents the potential of an accessible scientific tool for 2D and 3D spectral imaging. Consumer digital cameras are optimised for visible light, colour photography, but the underlying sensor is inherently sensitive to near ultraviolet, visible, and near infrared radiation. This research presents the characterisation of a modified camera to investigate the impact of the modification on the spectroradiometric and geometric image quality with the intention of the device being used as a scientific tool for cultural heritage documentation. The characterisation includes the assessment of 2D image quality looking at visual noise, sharpness, and sampling efficiency using the target and software associated with the Federal Agencies Digitization Guidelines Initiative. Results suggest that these modifications give rise to discrepancies in computed surface geometries of the order of ± 0.1 mm for small to medium sized objects used in the study and recorded in the round (maximum dimension 20 cm). Measuring the spectral response quantifies the modified camera as a scientific device for more accurate measurements and provides indications of wavelengths that could improve documentation based on sensitivity. The modification of a consumer digital camera provides a less expensive, high-resolution option for 2D and 3D spectral imaging.


2016 ◽  
Vol 31 (11) ◽  
pp. 2198-2206 ◽  
Author(s):  
John D. Usala ◽  
Adrian Maag ◽  
Thomas Nelis ◽  
Gerardo Gamez

A single-pixel compressed sensing spectral imaging system is designed and implemented on plasma optical emission for the first time.


Author(s):  
J. Hauser ◽  
V. A. Zheludev ◽  
M. A. Golub ◽  
A. Averbuch ◽  
M. Nathan ◽  
...  

<q>Spectral imaging</q> (SI) refers to the acquisition of the three-dimensional (3D) spectral cube of spatial and spectral data of a source object at a limited number of wavelengths in a given wavelength range. <q>Snapshot spectral imaging</q> (SSI) refers to the instantaneous acquisition (in a single <q>shot</q>) of the spectral cube, a process suitable for fast changing objects. Known SSI devices exhibit large total track length (TTL), weight and production costs and relatively low optical throughput. We present a simple SSI camera based on a regular digital camera with (i) an added diffusing and dispersing <q>phase-only</q> static optical element at the entrance pupil (<q>diffuser</q>) and (ii) tailored compressed sensing (CS) methods for digital processing of the diffused and dispersed (DD) image recorded on the image sensor. The diffuser is designed to mix the spectral cube data spectrally and spatially and thus to enable convergence in its reconstruction by CS-based algorithms. In addition to performing SSI, this SSI camera is capable to perform color imaging using a <q>monochromatic</q> or <q>gray-scale</q> image sensor without color filter arrays.


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