Spatially incoherent diffractive optical processors can handle data beyond non-negative values, potentially making them valuable in diverse scenarios, such as visual encryption and autonomous vehicle navigation. (IMAGE)
Caption
Spatially incoherent diffractive optical processors can handle data beyond non-negative values, potentially making them valuable in diverse scenarios, such as visual encryption and autonomous vehicle navigation. In a spatially incoherent diffractive network model, a complex-valued element of the input vector is represented by a set of real, non-negative intensity values (mosaicing) and the resulting input intensity pattern is fed into the incoherent diffractive network (a). At the output, a complex-valued vector element is synthesized from a predefined set of pixels (demosaicing). To demonstrate an application, the letters ‘U’ and ‘C’ are encoded in the amplitude and phase of a complex image, which is encrypted digitally and thereupon decrypted using the spatially incoherent diffractive optical network (b). The decrypted complex image matches the original image very well.
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Ozcan Lab @ UCLA.
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