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Information retrieval based on single-pixel optical imaging with quick-response code

机译：基于具有快速响应代码的单像素光学成像的信息检索

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摘要

Quick-response (QR) code technique is combined with ghost imaging (GI) to recover original information with high quality. An image is first transformed into a QR code. Then the QR code is treated as an input image in the input plane of a ghost imaging setup. After measurements, traditional correlation algorithm of ghost imaging is utilized to reconstruct an image (QR code form) with low quality. With this low-quality image as an initial guess, a Gerchberg-Saxton-like algorithm is used to improve its contrast, which is actually a post processing. Taking advantage of high error correction capability of QR code, original information can be recovered with high quality. Compared to the previous method, our method can obtain a high-quality image with comparatively fewer measurements, which means that the time-consuming postprocessing procedure can be avoided to some extent. In addition, for conventional ghost imaging, the larger the image size is, the more measurements are needed. However, for our method, images with different sizes can be converted into QR code with the same small size by using a QR generator. Hence, for the larger-size images, the time required to recover original information with high quality will be dramatically reduced. Our method makes it easy to recover a color image in a ghost imaging setup, because it is not necessary to divide the color image into three channels and respectively recover them.
机译：快速响应（QR）码技术与重影成像（GI）相结合，可以高质量地恢复原始信息。首先将图像转换为QR码。然后，将QR码视为重像成像设置的输入平面中的输入图像。经过测量，传统的重影成像相关算法被用来重建低质量的图像（QR码形式）。以此低质量图像作为最初的猜测，使用类似于Gerchberg-Saxton的算法来改善其对比度，这实际上是一种后处理。利用QR码的高纠错能力，可以高质量地恢复原始信息。与以前的方法相比，我们的方法可以获得相对较少的测量结果的高质量图像，这意味着可以在某种程度上避免耗时的后处理过程。另外，对于常规的重影成像，图像尺寸越大，则需要进行越多的测量。但是，对于我们的方法，可以使用QR生成器将具有不同尺寸的图像转换为相同尺寸的QR码。因此，对于较大尺寸的图像，以高质量恢复原始信息所需的时间将大大减少。我们的方法使在幻影成像设置中恢复彩色图像变得容易，因为不必将彩色图像分为三个通道并分别恢复它们。

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