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.