Noninvasive speckle autocorrelation is a promising technique for single-shot optical imaging through scattering media.However,it fails to image multiple distinct targets within an object space through scattering media...Noninvasive speckle autocorrelation is a promising technique for single-shot optical imaging through scattering media.However,it fails to image multiple distinct targets within an object space through scattering media because it is constrained by the tiny effective range of the optical memory effect.We present a method for multi-object single-shot imaging through scattering media that incorporates deep learning into the speckle autocorrelation technique,wherein the field of view(FOV)is customized by recovered autocorrelation sidelobes,and a conventional phase-retrieval algorithm is applied to a complete set of expected speckle autocorrelations to identify multiple target objects and their relative positions.Experiments verify the feasibility of customizing the FOV for imaging through scattering media.Image reconstruction results show that the proposed approach produces superior image quality compared to existing methods.We also demonstrate its generalization capability across different object types and unknown scattering media.展开更多
基金supported by the National Natural Science Foundation of China(Grant No.62475164)the Guangdong Applied Basic Research Foundation(Grant No.2024A1515010370)+1 种基金the Science and Technology Innovation Commission of Shenzhen(Grant No.JCYJ20240813141402003)the Shenzhen University(Grant Nos.86902-00248 and 868-01032096).
文摘Noninvasive speckle autocorrelation is a promising technique for single-shot optical imaging through scattering media.However,it fails to image multiple distinct targets within an object space through scattering media because it is constrained by the tiny effective range of the optical memory effect.We present a method for multi-object single-shot imaging through scattering media that incorporates deep learning into the speckle autocorrelation technique,wherein the field of view(FOV)is customized by recovered autocorrelation sidelobes,and a conventional phase-retrieval algorithm is applied to a complete set of expected speckle autocorrelations to identify multiple target objects and their relative positions.Experiments verify the feasibility of customizing the FOV for imaging through scattering media.Image reconstruction results show that the proposed approach produces superior image quality compared to existing methods.We also demonstrate its generalization capability across different object types and unknown scattering media.
