Point Spread Function Measurement Based on Single-Pixel Imaging

Point spread function (PSF) plays an important role in evaluating the quality of optical systems and imaging restoration. Conventional methods, which use a point-like source, acquire the PSF from the perspective of object points and suffer the problem of generating multiple point sources with sufficient intensity. Thus, in this study, we proposed a novel method to measure the PSF from the perspective of camera pixels. We considered spatially varying PSF as the light transport coefficients between the object and image points. By applying single-pixel imaging technology to every pixel of the image plane of a camera, PSF is extracted from the obtained light transport coefficients. Experiments also verified that the proposed method could achieve better signal-to-noise ratio PSF measurement than the conventional method and acquire an accurate blur model of the camera lens.