“…The best possible compromise will depend on the processing's ability to denoise or deblur, so it is interesting to integrate aperture optimization into co-design to find its optimal value. This was first done by considering the aperture as a hyperparameter and testing several values [5]. To optimize it directly, we have already shown how to link Schottky noise to optical parameters [1] rather than simply adding a fixed variance Gaussian noise as most co-design works do.…”
We propose to relate a photometric model of imaging sensors to optical parameters, including sensor noise and non-linearities in optics/neural-network co-design. We apply it in extension of the depth of field examples.
“…The best possible compromise will depend on the processing's ability to denoise or deblur, so it is interesting to integrate aperture optimization into co-design to find its optimal value. This was first done by considering the aperture as a hyperparameter and testing several values [5]. To optimize it directly, we have already shown how to link Schottky noise to optical parameters [1] rather than simply adding a fixed variance Gaussian noise as most co-design works do.…”
We propose to relate a photometric model of imaging sensors to optical parameters, including sensor noise and non-linearities in optics/neural-network co-design. We apply it in extension of the depth of field examples.
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