Abstract
Imaging through scattering media is still a formidable challenge with widespread applications ranging from biomedical imaging to remote sensing. Recent research progresses provide several feasible solutions, which are hampered by limited complexity of targets, invasiveness of data collection process and lack of robustness for reconstruction. In this paper, we show that the complex to-be-observed targets can be non-invasively reconstructed with fine details. Training targets, which can be directly reconstructed by speckle correlation and phase retrieval, are utilized as the input of the proposed speckle pattern estimation model, in which speckle modeling and constrained least square optimization are applied to estimate the distribution of the speckle pattern. Reconstructions for to-be-observed targets are realized by deconvoluting the estimated speckle pattern from the acquired integrated intensity matrices (IIMs). The qualities of reconstructed results are ensured by the stable statistical property and memory effect of laser speckle patterns. Experimental results show that the proposed method can reconstruct complex targets in high quality and the reconstruction performance is robust even much less data are acquired.
Highlights
Imaging through scattering media is still a formidable challenge with widespread applications ranging from biomedical imaging to remote sensing
It is obvious to see that compared with the results generated by phase retrieval, the proposed method improves the reconstruction performance for all the targets significantly, which is robust to the structure of the targets
Cross-correlation matching is proposed to correct the orientations of training targets and align their corresponding intensity matrices (IIMs), which are applied as the inputs of the speckle pattern estimation model
Summary
Imaging through scattering media is still a formidable challenge with widespread applications ranging from biomedical imaging to remote sensing. To non-invasively image complex targets through strongly scattering media with resolution beyond the limitation of illumination speckle grain lighted on the targets, a preliminary speckle pattern estimation and deconvolution method was proposed in our previous work[47]. The method is extended in this paper by adding cross-correlation matching method for restoring orientations and positions, deriving theoretical model for the speckle pattern estimation, analyzing the solution space and data reduction and comparing experimental results for imaging targets with different sizes and structural complexities. Compared with speckle correlation[15,16,17] and bispectrum analysis[18] based approaches, in which the stochastic perturbations in point-spread speckle pattern are considered as statistic noises, our method directly estimates the speckle pattern and reconstruct the target by deconvolution algorithm. Compared with the existing approaches, the proposed method provides much higher reconstruction quality to much more complex to-be-observed targets with much larger FoV
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