1 National University of Defense Technology, State Key Laboratory of Pulsed Power Laser Technology, Hefei 230037, China;
2 Science and Technology on Electro-Optical Information Security Control Laboratory, Tianjin 300000, China
The single-pixel imaging (SPI) technique is able to capture two-dimensional (2D) images without conventional array sensors by using a photodiode. As a novel scheme, Fourier single-pixel imaging (FSI) has been proven capable of reconstructing high-quality images. Due to the fact that the Fourier basis patterns (also known as grayscale sinusoidal patterns) cannot be well displayed on the digital micromirror device (DMD), a fast FSI system is proposed to solve this problem by binarizing Fourier pattern through a dithering algorithm. However, the traditional dithering algorithm leads to low quality as the extra noise is inevitably induced in the reconstructed images. In this paper, we report a better dithering algorithm to binarize Fourier pattern, which utilizes the Sierra-Lite kernel function by a serpentine scanning method. Numerical simulation and experiment demonstrate that the proposed algorithm is able to achieve higher quality under different sampling ratios.
Project supported by the National Natural Science Foundation of China (Grant No. 61271376) and the Anhui Provincial Natural Science Foundation, China (Grant No. 1208085MF114).
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