Open Access
6 February 2018 Contrast computation methods for interferometric measurement of sensor modulation transfer function
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Abstract
Accurate measurement of image-sensor frequency response over a wide range of spatial frequencies is very important for analyzing pixel array characteristics, such as modulation transfer function (MTF), crosstalk, and active pixel shape. Such analysis is especially significant in computational photography for the purposes of deconvolution, multi-image superresolution, and improved light-field capture. We use a lensless interferometric setup that produces high-quality fringes for measuring MTF over a wide range of frequencies (here, 37 to 434 line pairs per mm). We discuss the theoretical framework, involving Michelson and Fourier contrast measurement of the MTF, addressing phase alignment problems using a moiré pattern. We solidify the definition of Fourier contrast mathematically and compare it to Michelson contrast. Our interferometric measurement method shows high detail in the MTF, especially at high frequencies (above Nyquist frequency). We are able to estimate active pixel size and pixel pitch from measurements. We compare both simulation and experimental MTF results to a lens-free slanted-edge implementation using commercial software.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Tharun Battula, Todor Georgiev, Jennifer Gille, and Sergio Goma "Contrast computation methods for interferometric measurement of sensor modulation transfer function," Journal of Electronic Imaging 27(1), 013015 (6 February 2018). https://doi.org/10.1117/1.JEI.27.1.013015
Received: 10 May 2017; Accepted: 20 December 2017; Published: 6 February 2018
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CITATIONS
Cited by 6 scholarly publications.
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KEYWORDS
Modulation transfer functions

Sensors

Image sensors

Interferometry

Interferometers

Cameras

Fourier transforms

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