Multiple-input ghost imaging via sparsity constraints with thermal light

Single-pixel detection is one of the advantages of ghost imaging via sparsity constraints (GISC), but numerous modulations from the source are usually required to obtain an image with a good signal-to-noise ratio. When the spatial information at the detection plane is taken into consideration and recorded by sparse-array single-pixel detectors, we experimentally demonstrate that multiple-input ghost imaging via sparsity constraints (MI-GISC) with thermal light can further reduce the source's modulations compared with GISC. Factors affecting the imaging quality of MI-GISC with thermal light are also discussed. (C) 2014 The Japan Society of Applied Physics