Research on memory effects and recovery algorithm in imaging through scattering layers via speckle correlations

Imaging through scattering layers plays an important role in the field of optical imaging. Because of its characteristics, we can observe some targets that are invisible or unobservable. Now, it is a simple and effective way to process images of scattering layers by autocorrelation. However, due to the memory effect and the limitation of the acquisition environment, imaging through scattering layers still lacks the ability to accurately detect unknown objects. In this paper, we analyzed the influence of memory effects and actual acquisition environment on speckle correlations imaging. By controlling the various variables of the experimental device and the image processing, different experimental images and restoration results of the images are obtained. The memory effects control the optical thickness of the scattering layer, the size of the target, and the distance from the target to the scattering layer. There must be appropriate experimental parameter settings to meet the memory effect requirements. In addition, the selection of the position of the image acquisition device determines the degree of dispersion of the speckle. Image processing is mainly for the filtering of space domain and frequency domain, and for changes in constraints in Hybrid Input-Output algorithms. Finally, comparing the influence of all the parameters on the final restored image, the reasonable acquisition scheme and image processing scheme for different targets and scattering media can be obtained. It has reference and guiding significance for the application of imaging through scattering layers via speckle correlations.

[1]  I. Freund Looking through walls and around corners , 1990 .

[2]  Xingzhao Liu,et al.  Imaging through scattering media using speckle pattern classification based support vector regression. , 2018, Optics express.

[3]  O. Katz,et al.  Looking around corners and through thin turbid layers in real time with scattered incoherent light , 2012, Nature Photonics.

[4]  R. Gerchberg A practical algorithm for the determination of phase from image and diffraction plane pictures , 1972 .

[5]  Feng,et al.  Memory effects in propagation of optical waves through disordered media. , 1988, Physical review letters.

[6]  J R Fienup,et al.  Phase retrieval algorithms: a comparison. , 1982, Applied optics.

[7]  J R Fienup,et al.  Reconstruction of an object from the modulus of its Fourier transform. , 1978, Optics letters.

[8]  Elias Kristensson,et al.  High-contrast imaging through scattering media using structured illumination and Fourier filtering. , 2016, Optics letters.

[9]  M. Fink,et al.  Non-invasive single-shot imaging through scattering layers and around corners via speckle correlations , 2014, Nature Photonics.

[10]  Guohai Situ,et al.  Image Transmission through Scattering Media Using Ptychographic Iterative Engine , 2019, Applied Sciences.

[11]  A. Ozcan,et al.  On the use of deep learning for computational imaging , 2019, Optica.

[12]  J. Goodman Some fundamental properties of speckle , 1976 .

[13]  J. Fienup Space Object Imaging Through The Turbulent Atmosphere , 1979 .

[14]  S. Gigan,et al.  Single-shot diffraction-limited imaging through scattering layers via bispectrum analysis. , 2016, Optics letters.