Optimizing speckles for dynamic objects using genetic algorithm in ghost imaging
نویسندگان
چکیده
Different from the traditional imaging methods using first-order interference, ghost (GI) uses second-order correlation, bringing many potential applications. On other hand, GI has been suffering low efficiency in image reconstruction due to a high sampling rate, which is barrier for its application, especially when dealing with dynamic objects. The genetic algorithm (GA) can optimize speckle sequence an object and enable few patterns. However, optimized of GA usually loses generalization only reconstruct being tested, making it far suitable handling object. Here, we propose improved method based on GA, where make two selection rules: selective patterns more likely have response object, meanwhile, selected tend be linearly independent each other. under these rules not results successful but also preserves certain extent, enabling different states at overall rate. In verification first frame, our performs better demonstration various algorithms. 50% reconstructed images are 2.1775 dB higher 12 frames average peak signal-to-noise ratio than random sequence.
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ژورنال
عنوان ژورنال: AIP Advances
سال: 2022
ISSN: ['2158-3226']
DOI: https://doi.org/10.1063/5.0096821