Journal
PHOTONIX
Volume 4, Issue 1, Pages -Publisher
SPRINGERNATURE
DOI: 10.1186/s43074-023-00087-3
Keywords
Channels; Scattering medium; Point spread function; Deep learning; Spatial shift-invariant system
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A communication channel is necessary for information transmission. By replacing the lens with a thin scattering medium, the image can still be extracted, indicating that the scattering medium retains information transmission channels. Through deep learning, it is found that a scattering medium can construct different channels to match source coding manners. Valid channels are essential for transmitting information through a spatial shift-invariant system.
A communication channel should be built to transmit information from one place to another. Imaging is 2 or higher dimensional information communication. Conventionally, an imaging channel comprises a lens with free space at its both sides, whose transfer function is usually known and hence the response of the imaging channel can be well defined. Replacing the lens with a thin scattering medium, the image can still be extracted from the detected optical field, suggesting that the scattering medium retains or reconstructs not only energy but also information transmission channels. Aided by deep learning, we find that unlike the lens system, there are different channels in a scattering medium: the same scattering medium can construct different channels to match the manners of source coding. Moreover, it is found that without a valid channel, the convolution law for a spatial shift-invariant system (the output is the convolution of the point spread function and the input object) is broken, and in this scenario, information cannot be transmitted onto the detection plane. Therefore, valid channels are essential to transmit information through even a spatial shift-invariant system. These findings may intrigue new adventures in imaging through scattering media and reevaluation of the known spatial shift-invariance in various areas.
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