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Scattering medium brings great difficulties to locate and image planarobjects especially when the object has a large depth. In this letter, a novellearning-based method is presented to locate and image the object hidden behinda thin scattering diffuser. A multi-task network, named DINet, is constructedto predict the depth and the image of the hidden object from the capturedspeckle patterns. The provided experiments verify that the proposed methodenables to locate the object with a depth mean error less than 0.05 mm, andimage the object with an average PSNR above 24 dB, in a large depth rangingfrom 350 mm to 1150 mm. The constructed DINet can obtain multiple physicalinformation via a single speckle pattern, including both the depth and image.Comparing with the traditional methods, it paves the way to the practicalapplications requiring large imaging depth of field behind scattering media.

Synchronous locating and imaging behind scattering medium in a large depth based on deep learning