Temporally and spatially variant-resolution illumination patterns in computational ghost imaging

Conventional computational ghost imaging (CGI) uses light carrying a sequence of patterns with uniform-resolution to illuminate the object, then performs correlation calculation based on intensity value reflected by target and preset obtain object image. It requires large number measurements high-quality images, especially if high-resolution images are be obtained. To solve this problem, we developed temporally variable-resolution illumination patterns, replacing conventional different resolutions. In addition, propose combine spatially structure develop (TSV) which not only improve quality region interest (ROI) but also robustness noise. The methods using proposed verified simulations experiments compared CGI. For same measurements, method has better than CGI, it is less robust TSV in ROI CGI under measurements. We experimentally verify that have performance when applied higher resolution imaging. expected current difficult achieve