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      Vignetted-aperture correction for spectral cameras with integrated thin-film Fabry-P\'erot filters

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          Abstract

          Spectral cameras with integrated thin-film Fabry-P\'erot filters have become increasingly important in many applications. These applications often require the detection of spectral features at specific wavelengths or to quantify small variations in the spectrum. This can be challenging since thin-film filters are sensitive to the angle of incidence of the light. In prior work we modeled and corrected for the distribution of incident angles for an ideal finite aperture. Many real lenses however experience vignetting. Therefore in this article we generalize our model to the more common case of a vignetted aperture, which changes the distribution of incident angles. We propose a practical method to estimate the model parameters and correct undesired shifts in measured spectra. This is experimentally validated for a lens mounted on a visible to near-infrared spectral camera.

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          Hyperspectral imaging – an emerging process analytical tool for food quality and safety control

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            Finite aperture correction for spectral cameras with integrated thin-film Fabry-Perot filters.

            Spectral cameras with integrated thin-film Fabry-Perot filters enable many different applications. Some applications require the detection of spectral features that are only visible at specific wavelengths, and some need to quantify small spectral differences that are undetectable with RGB color cameras. One factor that influences the central wavelength of thin-film filters is the angle of incidence. Therefore, when light is focused from an imaging lens onto the filter array, undesirable shifts in the measured spectra are observed. These shifts limit the use of the sensor in applications that require fast lenses or lenses with large chief ray angles. To increase flexibility and enable new applications, we derive an analytical model that explains and can correct the observed shifts in measured spectra. The model includes the size of the aperture and physical position of each filter on the sensor. We experimentally validate the model with two spectral cameras: one in the visible and near-infrared region and one in the short wave infrared region.
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              Author and article information

              Journal
              14 May 2019
              Article
              10.1364/AO.58.001789
              1905.05848
              bd670ff8-21cf-4966-a10f-92e4ff035af7

              http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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              Custom metadata
              Appl. Opt. 58, 1789-1799 (2019)
              physics.optics eess.IV

              Optical materials & Optics,Electrical engineering
              Optical materials & Optics, Electrical engineering

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