Lingyun Zhu , Longfei Yin , Xikang Cui , Wenting Yu , Lei Chen , Haoyu Ge , Guohua Wu
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引用次数: 0
Abstract
We have proposed a direct computational imaging method via speckle patterns based on a multi society genetic algorithm. Decomposing the reconstruction problem of computational ghost imaging into two objectives, we introduce the multi-society genetic algorithm, enabling the reconstructed object image to be updated in the form of speckle patterns. The results demonstrate that this method can achieve a high quality reconstructed image. Compared with existing methods, our approach can improve the Peak Signal-to-Noise Ratio (PSNR) by up to 4.6 dB in experimental settings. This is beneficial for promoting biomedical imaging and developing integrated single pixel cameras.
期刊介绍：
Optics Communications invites original and timely contributions containing new results in various fields of optics and photonics. The journal considers theoretical and experimental research in areas ranging from the fundamental properties of light to technological applications. Topics covered include classical and quantum optics, optical physics and light-matter interactions, lasers, imaging, guided-wave optics and optical information processing. Manuscripts should offer clear evidence of novelty and significance. Papers concentrating on mathematical and computational issues, with limited connection to optics, are not suitable for publication in the Journal. Similarly, small technical advances, or papers concerned only with engineering applications or issues of materials science fall outside the journal scope.
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