A sweeping algorithm is introduced in conventional computational ghost-imaging as a method for improving image quality and reducing the shot number. In this method, the intensity of rows and columns in the generated random patterns are set as bright pixels. Since this sweeping is repeated one by one on each row and column, a constant shot number, equal to the sum of raw and column number, is pre-defined. As a result, application of this method to ghost imaging of moving objects offers lower shot numbers and leads to higher imaging speeds. It is shown that the final image can be retrieved with considerable improvements in its visibility, signal to noise and contrast to noise ratios. For still objects, enhancements up to 27, 5 and 57.5 are achieved for the visibility, signal to noise and contrast to noise ratios, respectively. As for the moving objects, we report a maximum imaging speed of 2.79 mm s −1 which is around 4000 times the previously reported data.

中文翻译：

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通过扫描随机图案，对静止和运动的物体进行超快速的生动计算重影成像

在传统的计算重影中引入了扫掠算法，作为一种提高图像质量和减少拍摄数量的方法。在该方法中，将所生成的随机图案中的行和列的强度设置为亮像素。由于此扫描在每一行和每一列上都重复进行，因此预定义了一个恒定的拍摄编号，该编号等于原始编号和列编号的总和。结果，将该方法应用于运动物体的重影成像提供了较低的拍摄数量并导致了更高的成像速度。结果表明，可以在可见度，信噪比和对比度与噪声比方面显着提高的情况下检索最终图像。对于静止物体，分别将可见度，信噪比和对比度与噪声比分别提高了27、5和57.5。