Results 321 to 330 of about 3,086,556 (345)

Deep Convolutional Compressed Sensing for LiDAR Depth Completion

Asian Conference on Computer Vision, 2018
In this paper we consider the problem of estimating a dense depth map from a set of sparse LiDAR points. We use techniques from compressed sensing and the recently developed Alternating Direction Neural Networks (ADNNs) to create a deep recurrent auto ...
Nathaniel Chodosh, Chaoyang Wang, S. Lucey   +2 more
semanticscholar   +1 more source

Compressed sensing

IEEE Transactions on Information Theory, 2006
Summary: Suppose \(x\) is an unknown vector in \(\mathbb R^m\) (a digital image or signal); we plan to measure \(n\) general linear functionals of \(x\) and then reconstruct. If \(x\) is known to be compressible by transform coding with a known transform, and we reconstruct via the nonlinear procedure defined here, the number of measurements \(n\) can ...
openaire   +1 more source

An image encryption scheme based on multi-objective optimization and block compressed sensing

Nonlinear dynamics, 2022
Xiu-li Chai, Jiangyun Fu, Zhihua Gan, Yang Lu, Yushu Zhang   +4 more
semanticscholar   +1 more source

DCSN: Deep Compressed Sensing Network for Efficient Hyperspectral Data Transmission of Miniaturized Satellite

IEEE Transactions on Geoscience and Remote Sensing, 2021
Chih-Chung Hsu, Chia-Hsiang Lin, Chao-Yuan Kao, Yen-Cheng Lin   +3 more
semanticscholar   +1 more source

Image encryption based on compressed sensing and DNA encoding

Signal processing. Image communication, 2021
Xing-yuan Wang, Yining Su
semanticscholar   +1 more source

Compressive Sensing and Compressive Holography

2015
It is well known from communication theory that for a sampled signal, the sampling rate must be greater than twice the signal bandwidth for faithful reproduction of the original signal. The concept of sampling at the Nyquist rate was postulated by Shannon in 1949; in the same year, Golay introduced the idea of artificial discrete multiplex coding in ...
Georges T. Nehmetallah, Rola Aylo, Logan A. Williams   +2 more
openaire   +1 more source

Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems

IEEE Journal on Selected Topics in Signal Processing, 2007
Mário A. T. Figueiredo, R. Nowak, S. Wright   +2 more
semanticscholar   +1 more source

Compressed Sensing

2021
openaire   +1 more source

Compressed Sensing

2022
Sameer Sonkusale, Maryam Shojaei Baghini, Shuchin Aeron   +2 more
openaire   +1 more source

Compressive Sensing

2022
openaire   +2 more sources