English

Multi-view in Lensless Compressive Imaging

Information Theory 2013-09-13 v2 Computer Vision and Pattern Recognition math.IT

Abstract

Multi-view images are acquired by a lensless compressive imaging architecture, which consists of an aperture assembly and multiple sensors. The aperture assembly consists of a two dimensional array of aperture elements whose transmittance can be individually controlled to implement a compressive sensing matrix. For each transmittance pattern of the aperture assembly, each of the sensors takes a measurement. The measurement vectors from the multiple sensors represent multi-view images of the same scene. We present theoretical framework for multi-view reconstruction and experimental results for enhancing quality of image using multi-view.

Keywords

Cite

@article{arxiv.1306.3946,
  title  = {Multi-view in Lensless Compressive Imaging},
  author = {Hong Jiang and Gang Huang and Paul Wilford},
  journal= {arXiv preprint arXiv:1306.3946},
  year   = {2013}
}

Comments

Accepted for presentation at PCS 2013 as Paper #1021; 4 pages, 4 figures. arXiv admin note: text overlap with arXiv:1302.1789

R2 v1 2026-06-22T00:35:11.424Z