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Speckle rotation decorrelation based single-shot video through scattering media
Author(s) -
Yijun Shi,
Youwen Liu,
Wei Sheng,
Jiming Wang,
Tong Wu
Publication year - 2019
Publication title -
optics express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.27.014567
Subject(s) - speckle pattern , computer vision , artificial intelligence , decorrelation , computer science , optics , rotation (mathematics) , point spread function , speckle imaging , physics
Optical imaging and tracking moving objects through scattering media is a challenge with important applications. However, previous works suffer from time-consuming recovery process, object complexity limit, or object information lost. Here we present a method based on the speckle rotation decorrelation property. The rotational speckles detected at short intervals are uncorrelated and multiplexed in a single-shot camera image. Object frames of the video are recovered by cross-correlation deconvolution of the camera image with a computationally rotated point spread function. The near real-time recovery provides sharp object image frames with accurate object relative positions, exact movement velocity, and continuous motion trails. This multiplexing technique has important implications for a wide range of real-world imaging scenarios.

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