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基于双掩膜和深度去噪器的编码孔径压缩时域成像

Coded aperture compression temporal imaging based on a dual-mask and deep denoiser.

作者信息

Ge YouRan, Qu GangRong, Huang YuHao, Liu Duo

出版信息

J Opt Soc Am A Opt Image Sci Vis. 2023 Jul 1;40(7):1468-1477. doi: 10.1364/JOSAA.491924.

DOI:10.1364/JOSAA.491924
PMID:37706748
Abstract

Coded aperture compressive temporal imaging (CACTI) is the mapping of multiple frames using different encoding patterns into a single measurement and then using an algorithm to reconstruct the required high-dimensional signals, thus enabling high-speed photography on low-speed cameras. An encoding pattern and a reconstruction algorithm both play a critical role for CACTI. To improve the quality of the reconstruction, in terms of encoding, we took advantage of the reflective properties of the digital micromirror device and used a complementary dual-mask pattern to obtain more projection information. In terms of decoding, we developed what we believe, to the best of our knowledge, is a new model combining the weighted Landweber regularization with the relaxation strategy and a deep denoiser. The experimental results show the superiority of our proposed encoding-decoding combination, which achieves better performance in terms of the peak SNR, structural similarity index measure, and visual effects.

摘要

编码孔径压缩时域成像(CACTI)是将使用不同编码模式的多个帧映射到单个测量中,然后使用算法重建所需的高维信号,从而在低速相机上实现高速摄影。编码模式和重建算法对CACTI都起着关键作用。为了提高重建质量,在编码方面,我们利用了数字微镜器件的反射特性,并使用互补双掩模模式来获取更多投影信息。在解码方面,据我们所知,我们开发了一种新模型,该模型将加权Landweber正则化与松弛策略以及深度去噪器相结合。实验结果表明了我们提出的编码 - 解码组合的优越性,该组合在峰值信噪比、结构相似性指数测量和视觉效果方面表现更优。

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