Fast Fourier single-pixel imaging using binary illumination
This enables high-speed, high-quality imaging over broad wavebands for applications like microscopy or surveillance, but it is incremental as it adapts an existing method to hardware constraints.
The paper tackled the challenge of applying Fourier single-pixel imaging (FSI) in high-speed systems using digital micro-mirror devices (DMDs), which are binary and slow with grayscale patterns, by adopting binary Fourier patterns generated via upsampling and error diffusion dithering, achieving high-quality static imaging and real-time dynamic imaging.
Fourier single-pixel imaging (FSI) has proven capable of reconstructing high-quality two-dimensional and three-dimensional images. The utilization of the sparsity of natural images in Fourier domain allows high-resolution images to be reconstructed from far fewer measurements than effective image pixels. However, applying original FSI in digital micro-mirror device (DMD) based high-speed imaging system turns out to be challenging, because the original FSI uses grayscale Fourier basis patterns for illumination while DMDs generate grayscale patterns at a relatively low rate. DMDs are a binary device which can only generate a black-and-white pattern at each instance. In this paper, we adopt binary Fourier patterns for illumination to achieve DMD-based high-speed single-pixel imaging. Binary Fourier patterns are generated by upsampling and then applying error diffusion based dithering to the grayscale patterns. Experiments demonstrate the proposed technique able to achieve static imaging with high quality and dynamic imaging in real time. The proposed technique potentially allows high-quality and high-speed imaging over broad wavebands.