Results 21 to 30 of about 247,748 (272)
Image reconstruction in fluorescence molecular tomography with sparsity-initialized maximum-likelihood expectation maximization [PDF]
, 2018 We present a reconstruction method involving maximum-likelihood expectation maximization (MLEM) to model Poisson noise as applied to fluorescence molecular tomography (FMT). MLEM is initialized with the output from a sparse reconstruction-based approach,
Jha, Abhinav K +3 more
core +3 more sources
Remote Sensing, 2019 The magnetic resonance sounding (MRS) method is a non-invasive, efficient and advanced geophysical method for groundwater detection. However, the MRS signal received by the coil sensor is extremely susceptible to electromagnetic noise interference.
Xiaokang Yao +4 more
doaj +1 more source
Reconstructive Sparse Code Transfer for Contour Detection and Semantic Labeling [PDF]
, 2014 We frame the task of predicting a semantic labeling as a sparse reconstruction procedure that applies a target-specific learned transfer function to a generic deep sparse code representation of an image.
Maire, Michael +2 more
core +4 more sources
Adaptive thresholding for sparse image reconstruction
Telfor Journal, 2023 The performance of the class of sparse reconstruction algorithms which is based on the iterative thresholding is highly dependent on a selection of the appropriate threshold value, controlling a trade-off between the algorithm execution time and the solution accuracy. This is why most of the state-of-the-art reconstruction algorithms employ some method
Volarić, Ivan, Sučić, Viktor
openaire +2 more sources
Image reconstruction from photon sparse data [PDF]
Scientific Reports, 2017 AbstractWe report an algorithm for reconstructing images when the average number of photons recorded per pixel is of order unity, i.e. photon-sparse data. The image optimisation algorithm minimises a cost function incorporating both a Poissonian log-likelihood term based on the deviation of the reconstructed image from the measured data and a ...
Mertens, Lena +4 more
openaire +3 more sources
Kernel Reconstruction ICA for Sparse Representation [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2015 Independent component analysis with soft reconstruction cost (RICA) has been recently proposed to linearly learn sparse representation with an overcomplete basis, and this technique exhibits promising performance even on unwhitened data. However, linear RICA may not be effective for the majority of real-world data because nonlinearly separable data ...
Yanhui, Xiao +4 more
openaire +2 more sources
Joint-2D-SL0 Algorithm for Joint Sparse Matrix Reconstruction
International Journal of Antennas and Propagation, 2017 Sparse matrix reconstruction has a wide application such as DOA estimation and STAP. However, its performance is usually restricted by the grid mismatch problem. In this paper, we revise the sparse matrix reconstruction model and propose the joint sparse
Dong Zhang, Yongshun Zhang, Cunqian Feng
doaj +1 more source
Temperature Field Reconstruction Method for Acoustic Tomography Based on Multi-Dictionary Learning
Sensors, 2022 A reconstruction algorithm is proposed, based on multi-dictionary learning (MDL), to improve the reconstruction quality of acoustic tomography for complex temperature fields.
Yuankun Wei, Hua Yan, Yinggang Zhou
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Sparse ACEKF for phase reconstruction
Optics Express, 2013 We propose a novel low-complexity recursive filter to efficiently recover quantitative phase from a series of noisy intensity images taken through focus. We first transform the wave propagation equation and nonlinear observation model (intensity measurement) into a complex augmented state space model.
Jingshan, Zhong +3 more
openaire +5 more sources
Exact CS Reconstruction Condition of Undersampled Spectrum-Sparse Signals
Journal of Applied Mathematics, 2013 Compressive sensing (CS) reconstruction of a spectrum-sparse signal from undersampled data is, in fact, an ill-posed problem. In this paper, we mathematically prove that, in certain cases, the exact CS reconstruction of a spectrum-sparse signal from ...
Ying Luo +3 more
doaj +1 more source