LAUSR

About LAUSR
Donate
Contact Us

Follow us:

You are not signed in:

Sign Up!


   Articles with "based sparse" as a keyword



FDM: fast dense matching based on sparse matching

Sign Up to like & get
recommendations! Published in 2020 at "Signal, Image and Video Processing"

DOI: 10.1007/s11760-019-01552-y

Abstract: Dense matching is the basis for many advanced image processing algorithms such as 3D reconstruction, super-resolution reconstruction, and image fusion. However, it has several limitations in speed and accuracy; the main aspects affecting the practicality… read more here.

Keywords: sparse matching; neighbourhood; dense; based sparse ... See more keywords

Droplet Image Super Resolution Based on Sparse Representation and Kernel Regression

Sign Up to like & get
recommendations! Published in 2018 at "Microgravity Science and Technology"

DOI: 10.1007/s12217-018-9597-6

Abstract: Microgravity and containerless conditions, which are produced via electrostatic levitation combined with a drop tube, are important when studying the intrinsic properties of new metastable materials. Generally, temperature and image sensors can be used to… read more here.

Keywords: resolution; image; droplet; super resolution ... See more keywords

Personalization of Head-Related Transfer Function Based on Sparse Principle Component Analysis and Sparse Representation of 3D Anthropometric Parameters

Sign Up to like & get
recommendations! Published in 2019 at "Acoustics Australia"

DOI: 10.1007/s40857-019-00169-y

Abstract: Personalization of head-related transfer functions (HRTFs) is an essential task in the research on virtual hearing. In this paper, a method based on sparse principal component analysis (SPCA) and sparse representation (SR) was proposed to… read more here.

Keywords: personalization head; head related; sparse; related transfer ... See more keywords

Neutron spectrum unfolding of the multiple activation foils based on sparse representation

Sign Up to like & get
recommendations! Published in 2020 at "Annals of Nuclear Energy"

DOI: 10.1016/j.anucene.2019.106947

Abstract: Abstract An unfolding method based on sparse representation is proposed and applied to unfolding problem of multiple activation foils measurement. The Online Dictionary Learning (ODL) algorithm is applied for sparse representation. The algorithm LARS-EN is… read more here.

Keywords: representation; multiple activation; activation foils; based sparse ... See more keywords

Numerical modelling of water sorption isotherms of zeolite 13XBF based on sparse experimental data sets for heat storage applications

Sign Up to like & get
recommendations! Published in 2017 at "Energy Conversion and Management"

DOI: 10.1016/j.enconman.2017.08.033

Abstract: Abstract This study analyzes the possibility of determining the parameters of an adsorption equilibrium model based on a reduced number of isotherms for the working pair water/zeolite 13X. The employed models rely on the Dubinin-Polanyi… read more here.

Keywords: heat storage; adsorption; adsorption equilibrium; based sparse ... See more keywords
Photo by radowanrehan from unsplash

SSIM-based sparse image restoration

Sign Up to like & get
recommendations! Published in 2021 at "Journal of King Saud University - Computer and Information Sciences"

DOI: 10.1016/j.jksuci.2021.07.024

Abstract: Abstract In this paper, we provide a sparse image restoration algorithm with a SSIM-based objective function. The proposed technique is a modification to the SSIM-inspired OMP (iOMP) and, and it has two parallel sparse restoration… read more here.

Keywords: sparse image; image restoration; restoration; based sparse ... See more keywords

Regularized least absolute deviation-based sparse identification of dynamical systems.

Sign Up to like & get
recommendations! Published in 2023 at "Chaos"

DOI: 10.1063/5.0130526

Abstract: This work develops a regularized least absolute deviation-based sparse identification of dynamics (RLAD-SID) method to address outlier problems in the classical metric-based loss function and the sparsity constraint framework. Our method uses absolute derivation loss… read more here.

Keywords: least absolute; identification; absolute deviation; based sparse ... See more keywords

Unsupervised PolSAR image classification based on sparse representation

Sign Up to like & get
recommendations! Published in 2019 at "International Journal of Remote Sensing"

DOI: 10.1080/01431161.2019.1587209

Abstract: ABSTRACT A novel unsupervised image classification algorithm which based on the sparse representation theory for polarimetric synthetic aperture radar (PolSAR) image is introduced in this paper. The algorithm conjunctively uses sparse representation-based classification (SRC) theory,… read more here.

Keywords: based sparse; sparse representation; classification; class labels ... See more keywords

Coding of Light Fields Using Disparity-Based Sparse Prediction

Sign Up to like & get
recommendations! Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2957934

Abstract: In this paper we introduce a new light field codec, dubbed WaSPR (warping and sparse prediction on regions), which has additional features and improved performance when compared to our recently introduced WaSP (warping and sparse… read more here.

Keywords: sparse prediction; coding light; prediction; light fields ... See more keywords

Shockwave Signal Downsampling Rate Acquisition Based on Sparse Fourier Transform

Sign Up to like & get
recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3169603

Abstract: The wireless distributed transient shockwave testing system based on Nyquist sampling needs to keep high sampling rate and front-end data processing rate, which leads to the shortening of the life cycle of wireless nodes. In… read more here.

Keywords: shockwave signal; based sparse; sparse fourier; rate ... See more keywords

Temporal Correlation and Message-Passing-Based Sparse Bayesian Learning Channel Estimation for Underwater Acoustic Communications

Sign Up to like & get
recommendations! Published in 2024 at "IEEE Journal of Oceanic Engineering"

DOI: 10.1109/joe.2023.3330523

Abstract: To mitigate the error propagation of single-carrier time-domain equalization (SC-TDE) with insufficient observation data, this article proposes a low-complexity message-passing-based SC-TDE algorithm. First, the temporal correlation (TC) between subblocks is exploited to improve the performance… read more here.

Keywords: message; message passing; passing based; temporal correlation ... See more keywords