Abstract
Traditional image reconstruction methods make a single-scattering assumption, which yields a linear optimization problem. In fact, the scattered field involves richer information because of the multiple-scattering terms, which can be enhanced into image reconstruction with nonlinear optimization. This is especially useful for limited-view imaging, where the forward scattering field cannot be measured. This paper demonstrates multiple-scattering reconstructions, outperforming conventional formulations in terms of imaging a larger potion of the object spectrum.
| Original language | English (US) |
|---|---|
| Title of host publication | 2018 United States National Committee of URSI National Radio Science Meeting, USNC-URSI NRSM 2018 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1-2 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781946815026 |
| State | Published - Feb 21 2018 |
| Event | 2018 United States National Committee of URSI National Radio Science Meeting, USNC-URSI NRSM 2018 - Boulder, United States Duration: Jan 4 2018 → Jan 7 2018 |
Publication series
| Name | 2018 United States National Committee of URSI National Radio Science Meeting, USNC-URSI NRSM 2018 |
|---|---|
| Volume | 2018-January |
Other
| Other | 2018 United States National Committee of URSI National Radio Science Meeting, USNC-URSI NRSM 2018 |
|---|---|
| Country | United States |
| City | Boulder |
| Period | 1/4/18 → 1/7/18 |
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ASJC Scopus subject areas
- Computer Networks and Communications
- Instrumentation
Cite this
Seeing the invisible : Limited-view imaging with multiple-scattering reconstruction. / Hidayetoglu, Mert; Hwu, Wen-Mei W; Chew, Weng Cho.
2018 United States National Committee of URSI National Radio Science Meeting, USNC-URSI NRSM 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-2 (2018 United States National Committee of URSI National Radio Science Meeting, USNC-URSI NRSM 2018; Vol. 2018-January).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Seeing the invisible
T2 - Limited-view imaging with multiple-scattering reconstruction
AU - Hidayetoglu, Mert
AU - Hwu, Wen-Mei W
AU - Chew, Weng Cho
PY - 2018/2/21
Y1 - 2018/2/21
N2 - Traditional image reconstruction methods make a single-scattering assumption, which yields a linear optimization problem. In fact, the scattered field involves richer information because of the multiple-scattering terms, which can be enhanced into image reconstruction with nonlinear optimization. This is especially useful for limited-view imaging, where the forward scattering field cannot be measured. This paper demonstrates multiple-scattering reconstructions, outperforming conventional formulations in terms of imaging a larger potion of the object spectrum.
AB - Traditional image reconstruction methods make a single-scattering assumption, which yields a linear optimization problem. In fact, the scattered field involves richer information because of the multiple-scattering terms, which can be enhanced into image reconstruction with nonlinear optimization. This is especially useful for limited-view imaging, where the forward scattering field cannot be measured. This paper demonstrates multiple-scattering reconstructions, outperforming conventional formulations in terms of imaging a larger potion of the object spectrum.
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UR - http://www.scopus.com/inward/citedby.url?scp=85048119626&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85048119626
T3 - 2018 United States National Committee of URSI National Radio Science Meeting, USNC-URSI NRSM 2018
SP - 1
EP - 2
BT - 2018 United States National Committee of URSI National Radio Science Meeting, USNC-URSI NRSM 2018
PB - Institute of Electrical and Electronics Engineers Inc.
ER -