Abstract
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.
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