Abstract We propose an online adaptive computational ghost imaging (CGI) scheme that offers high quality imaging with few measurement numbers. Different from the conventional second-order correlation CGI, the proposed scheme utilizes an online imaging method for image reconstruction, where the object image is recovered immediately after the light intensity is acquired. An adaptive measurement termination method is proposed to terminate the online imaging when the quality of the recovered image is satisfied. The effectiveness of the proposed scheme is verified by numerical simulations and experiments and its imaging performance is assessed by comparing the results with state-of-the-art FWHTGI (fast Walsh-Hadamard transform CGI) and RDCGI (Russian dolls ordering CGI). The results demonstrate that the proposed scheme can achieve high-quality imaging with few measurements, and imaging quality is better than that with FWHTGI and RDCGI under low measurement number conditions. The proposed scheme may be helpful for high-resolution and real-time CGI.

中文翻译：

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在线自适应计算鬼成像

摘要 我们提出了一种在线自适应计算重影成像 (CGI) 方案，该方案可提供具有很少测量数量的高质量成像。与传统的二阶相关CGI不同，该方案利用在线成像方法进行图像重建，在获取光强后立即恢复物体图像。提出一种自适应测量终止方法，在恢复图像质量满足时终止在线成像。通过数值模拟和实验验证了所提出方案的有效性，并通过将结果与最先进的 FWHTGI（快速 Walsh-Hadamard 变换 CGI）和 RDCGI（俄罗斯娃娃订购 CGI）的结果进行比较来评估其成像性能。结果表明，该方案能够以较少的测量次数实现高质量的成像，并且在低测量次数条件下成像质量优于FWHTGI和RDCGI。所提出的方案可能有助于高分辨率和实时 CGI。