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

  title={Temporally and spatially variant-resolution illumination patterns in computational ghost imaging},
  author={Dong Zhou and Jie Cao and Huan Cui and Li-Xing Lin and Haoyu Zhang and Yingqiang Zhang and Qun Hao},
  journal={Optics Communications},



Adaptive ghost imaging.

This work demonstrates a new ghost imaging modality, called adaptive ghost imaging (AGI), that utilizes the difference of successive frames as the correlation pattern to generate the image, and believes that AGI will make the ghost imaging easier, more applicable and closer to reality.

Computational-weighted Fourier single-pixel imaging via binary illumination.

A new approach is proposed to increase the imaging speed of DMD-based FSI without reducing the imaging spatial resolution and provides an alternative approach to improve FSI efficiency.

1000 fps computational ghost imaging using LED-based structured illumination.

A computational ghost imaging scheme, which utilizes an LED-based, high-speed illumination module is presented, which provides a cost-effective and high- speed imaging technique for dynamic imaging applications.

Multi-resolution progressive computational ghost imaging

A high-speed multi-resolution progressive computational ghost imaging approach which is firstly locked by a low-resolution image with a small number of measurements, then high-resolution imaging of the target can be obtained by only modulating the light fields corresponding to the target area.

Three-dimensional single-pixel imaging with far fewer measurements than effective image pixels.

This work implements fringe projection virtually by exploiting Helmholtz reciprocity and experimentally obtained a 3-D reconstruction of a complex object with 599×599 effective pixels, achieving a measurement-to-pixel ratio of 5.78%.

Adaptive foveated single-pixel imaging with dynamic supersampling

The methods described here complement existing compressive sensing approaches and may be applied to enhance computational imagers that rely on sequential correlation measurements, thereby helping to mitigate one of the main drawbacks of single-pixel imaging techniques.

Single-pixel imaging by means of Fourier spectrum acquisition.

A single-pixel imaging technique that can achieve high-quality images by acquiring their Fourier spectrum by using phase-shifting sinusoid structured illumination for the spectrum acquisition and applying inverse Fourier transform to the obtained spectrum yields the desired image.

Computational ghost imaging with designed low spatial frequency masks.

The proposed method allows us to image an object with a smaller number of measurements than with the conventional method, and numerical simulations and experiments confirm the feasibility of the proposed method.

Fast full-color computational imaging with single-pixel detectors.

This work demonstrates a system that utilizes a digital light projector to illuminate a scene with approximately 1300 different light patterns every second and correlate these with the back scattered light measured by three spectrally-filtered single-pixel photodetectors to produce a full-color high-quality image in a few seconds of data acquisition.

Ghost imaging based on Y-net: a dynamic coding and decoding approach.

A ghost imaging scheme based on a novel dynamic decoding deep learning framework (Y-net) which works well under both deterministic and indeterministic illumination and can be applied to high-resolution x-ray ghost imaging applications.