Lensless Compressive Imaging
Abstract
We develop a lensless compressive imaging architecture, which consists of an aperture assembly and a single sensor, without using any lens. An anytime algorithm is proposed to reconstruct images from the compressive measurements; the algorithm produces a sequence of solutions that monotonically converge to the true signal (thus, anytime). The algorithm is developed based on the sparsity of local overlapping patches (in the transformation domain) and state-of-the-art results have been obtained. Experiments on real data demonstrate that encouraging results are obtained by measuring about 10% (of the image pixels) compressive measurements. The reconstruction results of the proposed algorithm are compared with the JPEG compression (based on file sizes) and the reconstructed image quality is close to the JPEG compression, in particular at a high compression rate.
Cite
@article{arxiv.1508.03498,
title = {Lensless Compressive Imaging},
author = {Xin Yuan and Hong Jiang and Gang Huang and Paul Wilford},
journal= {arXiv preprint arXiv:1508.03498},
year = {2015}
}
Comments
37 pages, 10 figures. Submitted to SIAM Journal on Imaging Science