Efficient Fourier Single-Pixel Imaging with Gaussian Random Sampling

Fourier single-pixel imaging (FSI) is a branch of techniques. It allows any image to be reconstructed by acquiring its spectrum using detector. FSI uses basis patterns for structured illumination or detection acquire the image. However, spatial resolution mainly depends on number coefficients sampled. The reconstruction high-resolution typically requires Consequently, large measurements lead long data acquisition time, resulting in dynamic scene challenging. Here we propose new sampling strategy FSI. reconstruct clear and sharp with reduced measurements. key proposed perform density-varying space and, more importantly, density respect importance subject one-dimensional Gaussian function. final from undersampled through compressive sensing. We experimentally demonstrate method able 256 × pixels ratio 10%. enables fast provides approach efficient information acquisition.