Zobrazeno 1 - 10
of 634
pro vyhledávání: '"Bouman, Charles"'
Autor:
Chowdhury, Mohammad Samin Nur, Yang, Diyu, Tang, Shimin, Venkatakrishnan, Singanallur V., Needham, Andrew W., Bilheux, Hassina Z., Buzzard, Gregery T., Bouman, Charles A.
Hyperspectral neutron computed tomography enables 3D non-destructive imaging of the spectral characteristics of materials. In traditional hyperspectral reconstruction, the data for each neutron wavelength bin is reconstructed separately. This per-bin
Externí odkaz:
http://arxiv.org/abs/2411.13557
Autor:
Chowdhury, Mohammad Samin Nur, Yang, Diyu, Tang, Shimin, Venkatakrishnan, Singanallur V., Bilheux, Hassina Z., Buzzard, Gregery T., Bouman, Charles A.
Hyperspectral neutron computed tomography is a tomographic imaging technique in which thousands of wavelength-specific neutron radiographs are typically measured for each tomographic view. In conventional hyperspectral reconstruction, data from each
Externí odkaz:
http://arxiv.org/abs/2410.22500
Publikováno v:
Proc. SPIE 13149, Unconventional Imaging, Sensing, and Adaptive Optics 2024, 131490A
Disturbances such as atmospheric turbulence and aero-optic effects lead to wavefront aberrations, which degrade performance in imaging and laser propagation applications. Adaptive optics (AO) provide a method to mitigate these effects by pre-compensa
Externí odkaz:
http://arxiv.org/abs/2409.04873
Multispectral imaging sensors typically have wavelength-dependent resolution, which reduces the ability to distinguish small features in some spectral bands. Existing super-resolution methods upsample a multispectral image (MSI) to achieve a common r
Externí odkaz:
http://arxiv.org/abs/2408.13225
Autor:
Lin, Jingsong, Venkatakrishnan, Singanallur, Buzzard, Gregery, Ziabari, Amir Koushyar, Bouman, Charles
Industrial cone-beam X-ray computed tomography (CT) scans of additively manufactured components produce a 3D reconstruction from projection measurements acquired at multiple predetermined rotation angles of the component about a single axis. Typicall
Externí odkaz:
http://arxiv.org/abs/2407.12963
Flash X-ray computed tomography (CT) is an important imaging modality for characterization of high-speed dynamic events, such as Kolsky bar impact experiments for the study of mechanical properties of materials subjected to impulsive forces. Due to e
Externí odkaz:
http://arxiv.org/abs/2406.17928
X-ray computed tomography (CT) reconstructs the internal morphology of a three dimensional object from a collection of projection images, most commonly using a single rotation axis. However, for objects containing dense materials like metal, the use
Externí odkaz:
http://arxiv.org/abs/2406.17897
Coherent LIDAR uses a chirped laser pulse for 3D imaging of distant targets. However, existing coherent LIDAR image reconstruction methods do not account for the system's aperture, resulting in sub-optimal resolution. Moreover, these methods use majo
Externí odkaz:
http://arxiv.org/abs/2406.13651
MACE CT Reconstruction for Modular Material Decomposition from Energy Resolving Photon-Counting Data
Autor:
Jadue, Natalie M., Nagare, Madhuri, Maltz, Jonathan S., Buzzard, Gregery T., Bouman, Charles A.
X-ray computed tomography (CT) based on photon counting detectors (PCD) extends standard CT by counting detected photons in multiple energy bins. PCD data can be used to increase the contrast-to-noise ratio (CNR), increase spatial resolution, reduce
Externí odkaz:
http://arxiv.org/abs/2402.00967
Deep neural networks (DNN) are commonly used to denoise and sharpen X-ray computed tomography (CT) images with the goal of reducing patient X-ray dosage while maintaining reconstruction quality. However, naive application of DNN-based methods can res
Externí odkaz:
http://arxiv.org/abs/2312.13422