The invention discloses a scattering imaging device based on
deep learning. The scattering imaging device comprises a
collimated light source, a first lens, a second lens, a linear polarizing film, aspatial light modulator, a
beam splitter, a third lens, a scattering medium, a photoelectric
detector and an image reconstruction module; the collimation
light source, the first lens, the second lens,the linear polarizing film and the
beam splitter are sequentially arranged along a first
optical axis. The
spatial light modulator, the third lens, the scattering medium and the photoelectric
detector are arranged along a second
optical axis, the first
optical axis and the second optical axis intersect at the
beam splitter, the second optical axis is perpendicular to the direction of the first optical axis, and the scattering medium is arranged on the focal plane of the third lens; and the image reconstruction module is used for reconstructing a speckle image according to the speckle information recorded by the photoelectric
detector. The
optical path structure is simple, the requirement for the accuracy of the
optical path is not high, and the constructed neural network can automaticallycompensate for various errors existing in the
optical path.