Results 31 to 40 of about 302,463 (187)
Current Developments of Sparse Microwave Imaging
Leida xuebao, 2014 The sparse microwave imaging combines the sparse signal processing theory with radar imaging to obtain new theory, new system, and new methodology of microwave imaging.
Wu Yi-rong +5 more
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Sparse Reconstruction for Near-Field MIMO Radar Imaging Using Fast Multipole Method
IEEE Access, 2021 Radar imaging using multiple input multiple output systems are becoming popular recently. These applications typically contain a sparse scene and the imaging system is challenged by the requirement of high quality real-time image reconstruction from ...
Emre A. Miran +2 more
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W-Band Sparse Imaging System Using Frequency Diverse Cavity-Fed Metasurface Antennas
IEEE Access, 2018 We experimentally demonstrate a frequency-diverse, computational imaging system at W-band frequencies utilizing an array of cavity-fed metasurface antennas.
Tomas Zvolensky +4 more
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Sparse Fourier single-pixel imaging
Optics Express, 2019 Fourier single-pixel imaging is one of the main single-pixel imaging techniques. To improve the imaging efficiency, some of the recent method typically select the low-frequency and discard the high-frequency information to reduce the number of acquired samples.
Meng, Wenwen +5 more
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Sparse Multi-Shell Diffusion Imaging [PDF]
, 2011 Diffusion magnetic resonance imaging (dMRI) is an important tool that allows non-invasive investigation of neural architecture of the brain. The data obtained from these in-vivo scans provides important information about the integrity and connectivity of neural fiber bundles in the brain.
Rathi, Yogesh +5 more
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Superresolution of Radar Forward-Looking Imaging Based on Accelerated TV-Sparse Method
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Total variation-sparse (TV-sparse)-based multiconstraint devonvolution method has been used to realize superresolution imaging and preserve target contour information simultaneously of radar forward-looking imaging.
Yin Zhang +4 more
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Sparse Poisson Noisy Image Deblurring
IEEE Transactions on Image Processing, 2012 Deblurring noisy Poisson images has recently been a subject of an increasing amount of works in many areas such as astronomy and biological imaging. In this paper, we focus on confocal microscopy, which is a very popular technique for 3-D imaging of biological living specimens that gives images with a very good resolution (several hundreds of ...
Carlavan, Mikael, Blanc-Féraud, Laure
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End-to-End SAR Deep Learning Imaging Method Based on Sparse Optimization
Remote Sensing, 2021 Synthetic aperture radar (SAR) imaging has developed rapidly in recent years. Although the traditional sparse optimization imaging algorithm has achieved effective results, its shortcomings are slow imaging speed, large number of parameters, and high ...
Siyuan Zhao +4 more
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Fast sparse fractal image compression
PLOS ONE, 2017 As a structure-based image compression technology, fractal image compression (FIC) has been applied not only in image coding but also in many important image processing algorithms. However, two main bottlenecks restrained the develop and application of FIC for a long time. First, the encoding phase of FIC is time-consuming.
Jianji Wang +5 more
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Sparse molecular image representation [PDF]
Journal of Visual Communication and Image Representation, 2016 We design a new structured sparsity prior with emphasis on the code coefficients.We propose the idea of atom pools for describing the variability in the sparse codes.We differentiate between molecule prototypes and realizations to add flexibility.We design a new algorithm for sparse coding under our new structured sparsity prior.We provide experimental
Karygianni Sofia, Frossard Pascal
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