Results 51 to 60 of about 8,062,965 (379)

Scene Graph Generation With External Knowledge and Image Reconstruction [PDF]

Computer Vision and Pattern Recognition, 2019
Scene graph generation has received growing attention with the advancements in image understanding tasks such as object detection, attributes and relationship prediction, etc.
Jiuxiang Gu, Handong Zhao, Zhe L. Lin, Sheng Li, Jianfei Cai, Mingyang Ling   +5 more
semanticscholar   +1 more source

On Hallucinations in Tomographic Image Reconstruction [PDF]

IEEE Transactions on Medical Imaging, 2020
Tomographic image reconstruction is generally an ill-posed linear inverse problem. Such ill-posed inverse problems are typically regularized using prior knowledge of the sought-after object property.
Sayantan Bhadra, Varun A. Kelkar, F. Brooks, M. Anastasio   +3 more
semanticscholar   +1 more source

Simulation of 3D Image Reconstruction in Rigid body Motion

MATEC Web of Conferences, 2018
3D image reconstruction under rigid body motion is affected by rigid body motion and visual displacement factors, which leads to low quality of 3D image reconstruction and more noise, in order to improve the quality of 3D image reconstruction of rigid ...
Chen Huihong, Li Shiming
doaj   +1 more source

A Benchmark Dataset and Deep Learning-Based Image Reconstruction for Electrical Capacitance Tomography

Sensors, 2018
Electrical Capacitance Tomography (ECT) image reconstruction has developed for decades and made great achievements, but there is still a need to find a new theoretical framework to make it better and faster.
Jin Zheng, Jinku Li, Yi Li, Lihui Peng
doaj   +1 more source

Image Reconstruction Based on Fused Features and Perceptual Loss Encoder-Decoder Residual Network for Space Optical Remote Sensing Images Compressive Sensing

IEEE Access, 2021
Compressive sensing (CS) technology is introduced into space optical remote sensing image acquisition stage, which could make wireless image sensor network node quickly and accurately obtain images in the case of two constraints of limited battery power ...
Shuming Xiao, Shaoju Wang, Lin Chang
doaj   +1 more source

LOFAR sparse image reconstruction [PDF]

Astronomy & Astrophysics, 2015
Context. The LOw Frequency ARray (LOFAR) radio telescope is a giant digital phased array interferometer with multiple antennas distributed in Europe. It provides discrete sets of Fourier components of the sky brightness. Recovering the original brightness distribution with aperture synthesis forms an inverse problem that can be solved by various ...
Garsden, H., Girard, J. N., Starck, J. L., Corbel, S., Tasse, C., Woiselle, A., McKean, J. P., van Amesfoort, A. S., Anderson, J., Avruch, I. M., Beck, R., Bentum, M. J., Best, P., Breitling, F., Broderick, J., Brueggen, M., Butcher, H. R., Ciardi, B., de Gasperin, F., de Geus, E., de Vos, M., Duscha, S., Eisloeffel, J., Engels, D., Falcke, H., Fallows, R. A., Fender, R., Ferrari, C., Frieswijk, W., Garrett, M. A., Griessmeier, J., Gunst, A. W., Hassall, T. E., Heald, G., Hoeft, M., Hoerandel, J., van der Horst, A., Juette, E., Karastergiou, A., Kondratiev, V. I., Kramer, M., Kuniyoshi, M., Kuper, G., Mann, G., Markoff, S., McFadden, R., McKay-Bukowski, D., Mulcahy, D. D., Munk, H., Norden, M. J., Orru, E., Paas, H., Pandey-Pommier, M., Pandey, V. N., Pietka, G., Pizzo, R., Polatidis, A. G., Renting, A., Roettgering, H., Rowlinson, A., Schwarz, Dominik, Sluman, J., Smirnov, O., Stappers, B. W., Steinmetz, M., Stewart, A., Swinbank, J., Tagger, M., Tang, Y., Tasse, C., Thoudam, S., Toribio, C., Vermeulen, R., Vocks, C., van Weeren, R. J., Wijnholds, S. J., Wise, M. W., Wucknitz, O., Yatawatta, S., Zarka, P., Zensus, A.   +80 more
openaire   +11 more sources

Joint Image Reconstruction and Super-Resolution for Accelerated Magnetic Resonance Imaging

Bioengineering, 2023
Magnetic resonance (MR) image reconstruction and super-resolution are two prominent techniques to restore high-quality images from undersampled or low-resolution k-space data to accelerate MR imaging. Combining undersampled and low-resolution acquisition
Wei Xu, Sen Jia, Zhuo-Xu Cui, Qingyong Zhu, Xin Liu, Dong Liang, Jing Cheng   +6 more
doaj   +1 more source

Investigation of iterative image reconstruction in three-dimensional optoacoustic tomography

, 2012
Iterative image reconstruction algorithms for optoacoustic tomography (OAT), also known as photoacoustic tomography, have the ability to improve image quality over analytic algorithms due to their ability to incorporate accurate models of the imaging ...
Alexander A Oraevsky, Barrett H H, Elbau P, Kun Wang, Kunyansky L A, Mark A Anastasio, Pan X, Richard Su, Wang L V, Wernick M N   +9 more
core   +1 more source

FRESH – FRI-based single-image super-resolution algorithm [PDF]

, 2016
In this paper, we consider the problem of single image super-resolution and propose a novel algorithm that outperforms state-of-the-art methods without the need of learning patches pairs from external data sets.
Dragotti, P, Wei, X
core   +1 more source

Diffusion Models for Medical Image Reconstruction

BJR|Artificial Intelligence
Better algorithms for medical image reconstruction can improve image quality and enable reductions in acquisition time and radiation dose. A prior understanding of the distribution of plausible images is key to realising these benefits.
George Webber, A. Reader
semanticscholar   +1 more source