Results 231 to 240 of about 247,748 (272)

Sparse angle CT reconstruction based on group sparse representation

Journal of X-Ray Science and Technology, 2022
OBJECTIVE: In order to solve the problem of image quality degradation of CT reconstruction under sparse angle projection, we propose to develop and test a new sparse angle CT reconstruction method based on group sparse. METHODS: In this method, the group-based sparse representation is introduced into the statistical iterative reconstruction framework ...
Yanan, Gu, Yi, Liu, Wenting, Liu, Rongbiao, Yan, Yuhang, Liu, Zhiguo, Gui   +5 more
openaire   +2 more sources

Nonlocal Elastica Model for Sparse Reconstruction

Journal of Mathematical Imaging and Vision, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mengyuan Yan, Yuping Duan
openaire   +1 more source

Sparse reconstruction for radar

SPIE Proceedings, 2008
Imaging is not itself a system goal, but is rather a means to support inference tasks. For data processing with linearized signal models, we seek to report all high-probability interpretations of the data and to report confidence labels in the form of posterior probabilities.
Lee C. Potter, Philip Schniter, Justin Ziniel   +2 more
openaire   +1 more source

Sparse correlation kernel reconstruction

1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258), 1999
This paper presents a new paradigm for signal reconstruction and superresolution, correlation kernel analysis (CKA), that is based on the selection of a sparse set of bases from a large dictionary of class-specific basis functions. The basis functions that we use are the correlation functions of the class of signals we are analyzing.
C. Papageorgiou, F. Girosi, T. Poggio
openaire   +1 more source

Reconstruction Using Sparse Approximation

2018
Interest in sparse approximations is prevalent in the recent years. The reason for this undivided engrossment is due to the large amount of applications. The process to find a sparse approximation can be very cumbersome since there is no specific method that can guarantee a solution in every situation.
Rana Sameer Pratap Singh, Rosepreet Kaur Bhogal   +1 more
openaire   +1 more source

Motion reconstruction using sparse accelerometer data

ACM Transactions on Graphics, 2011
The development of methods and tools for the generation of visually appealing motion sequences using prerecorded motion capture data has become an important research area in computer animation. In particular, data-driven approaches have been used for reconstructing high-dimensional motion sequences from low-dimensional control signals. In this article,
Tautges, J., Zinke, A., Krüger, B., Baumann, J., Weber, A., Helten, T., Müller, M., Seidel, H. ; https://orcid.org/0000-0002-1343-8613, Eberhardt, B.   +8 more
openaire   +2 more sources