Results 21 to 30 of about 18,243 (295)
Vaguelette-Wavelet Deconvolution via Compressive Sampling
IEEE Access, 2019 Vaguelette-wavelet deconvolution (VWD) is known as a transform-based image restoration technique that involves applying wavelet-domain denoising to an observed image, followed by the Fourier-domain blur inversion, which can prevent noise amplification in
Chihiro Tsutake, Toshiyuki Yoshida
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Compressive Sampling with Multiple Bit Spread Spectrum-Based Data Hiding
Applied Sciences, 2020 We propose a novel data hiding method in an audio host with a compressive sampling technique. An over-complete dictionary represents a group of watermarks.
Gelar Budiman +2 more
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A Light Field Sparse and Reconstruction Framework for Improving Rendering Quality
IEEE Access, 2020 We present a sparse reconstruction light field (SRLF) framework using compressed sensing theory. Light field signals have sparsity in some specific phenomena, such as nonocclusions, smooth surfaces and texture uniformity.
Hong Zhang +6 more
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Photonics-enabled sub-Nyquist radio frequency sensing based on temporal channelization and compressive sensing [PDF]
, 2014 A novel approach to sensing broadband radio frequency (RF) spectrum beyond the Nyquist limit based on photonic temporal channelization and compressive sensing is proposed.
Wang, Chao +3 more
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Sampling Time Adaptive Single-Photon Compressive Imaging
IEEE Photonics Journal, 2019 We propose a time-adaptive sampling method and demonstrate a sampling-time-adaptive single-photon compressive imaging system. In order to achieve self-adapting adjustment of sampling time, the theory of threshold of light intensity estimation accuracy is
Hui Wang +4 more
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Compressive Sampling Using a Pushframe Camera [PDF]
OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP), 2021 Pushframe parallellized single pixel camera imaging utilizes scanning motion to apply linear sampling masks to rapidly compressively sense a scene. We demonstrate strongly performing static binarized noiselet mask designs, tailored for pushframe hardware.
Bennett, Stuart +6 more
openaire +6 more sources
A Novel Iterative Thresholding Algorithm Based on Plug-and-Play Priors for Compressive Sampling
Future Internet, 2017 We propose a novel fast iterative thresholding algorithm for image compressive sampling (CS) recovery using three existing denoisers—i.e., TV (total variation), wavelet, and BM3D (block-matching and 3D filtering) denoisers.
Lingjun Liu, Zhonghua Xie, Cui Yang
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Sensors, 2023 This paper considers the problem of estimating the parameters of a frequency-hopping signal under non-cooperative conditions. To make the estimation of different parameters independently of each other, a compressed domain frequency-hopping signal ...
Weipeng Zhu +3 more
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Compressed sensing applied to modeshapes reconstruction [PDF]
, 2011 Modal analysis classicaly used signals that respect the Shannon/Nyquist theory. Compressive sampling (or Compressed Sampling, CS) is a recent development in digital signal processing that offers the potential of high resolution capture of physical ...
Dimitri Bettebghor +3 more
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Entropy, 2015 Assuming sparsity or compressibility of the underlying signals, compressed sensing or compressive sampling (CS) exploits the informational efficiency of under-sampled measurements for increased efficiency yet acceptable accuracy in information gathering,
Jingxiong Zhang +3 more
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