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20132018
most citedLensless Imaging by Compressive Sensing

132 citations · 178 across the 11 of their papers we have counts for

collaborators

11 papers

cs.LG2018★ 2 cited

Comment on "All-optical machine learning using diffractive deep neural networks"

Haiqing Wei, Gang Huang, Xiuqing Wei +2

Lin et al. (Reports, 7 September 2018, p. 1004) reported a remarkable proposal that employs a passive, strictly linear optical setup to perform pattern classifications. But interpr…

cs.CV2017★ 1 cited

Block-wise Lensless Compressive Camera

Xin Yuan, Gang Huang, Hong Jiang +1

The existing lensless compressive camera ()~\cite{Huang13ICIP} suffers from low capture rates, resulting in low resolution images when acquired over a short t…

cs.CV2016★ 6 cited

Multi-resolution Compressive Sensing Reconstruction

Adriana Gonzalez, Hong Jiang, Gang Huang +1

We consider the problem of reconstructing an image from compressive measurements using a multi-resolution grid. In this context, the reconstructed image is divided into multiple re…

math.NA2015★ 8 cited

Constrained and Preconditioned Stochastic Gradient Method

Hong Jiang, Gang Huang, Paul Wilford +1

We consider stochastic approximations which arise from such applications as data communications and image processing. We demonstrate why constraints are needed in a stochastic appr…

stat.ML2015★ 13 cited

Compressive Sensing via Low-Rank Gaussian Mixture Models

Xin Yuan, Hong Jiang, Gang Huang +1

We develop a new compressive sensing (CS) inversion algorithm by utilizing the Gaussian mixture model (GMM). While the compressive sensing is performed globally on the entire image…

cs.CV2015★ 11 cited

Lensless Compressive Imaging

Xin Yuan, Hong Jiang, Gang Huang +1

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 reco…

cs.CV2014

Noise Analysis for Lensless Compressive Imaging

Hong Jiang, Gang Huang, Paul Wilford

We analyze the signal to noise ratio (SNR) in a recently proposed lensless compressive imaging architecture. The architecture consists of a sensor of a single detector element and…

cs.CV2014★ 1 cited

Signal to Noise Ratio in Lensless Compressive Imaging

Hong Jiang, Gang Huang, Paul Wilford

We analyze the signal to noise ratio (SNR) in a lensless compressive imaging (LCI) architecture. The architecture consists of a sensor of a single detecting element and an aperture…

cs.IT2013★ 1 cited

Multi-view in Lensless Compressive Imaging

Hong Jiang, Gang Huang, Paul Wilford

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…

cs.CV2013★ 132 cited

Lensless Imaging by Compressive Sensing

Gang Huang, Hong Jiang, Kim Matthews +1

In this paper, we propose a lensless compressive imaging architecture. The architecture consists of two components, an aperture assembly and a sensor. No lens is used. The aperture…

cs.CV2013★ 3 cited

Lensless Compressive Sensing Imaging

Gang Huang, Hong Jiang, Kim Matthews +1

In this paper, we propose a lensless compressive sensing imaging architecture. The architecture consists of two components, an aperture assembly and a sensor. No lens is used. The…