RT Book,_Section
T1 Single-Shot Transient Imaging Via Compressed Time-Of-Flight Imaging And Dictionary Learning
A1 Fayyaz Shahandashti, Peyman
A1 López Martínez, Paula
A1 Brea Sánchez, Víctor Manuel
A1 García-Lesta, Manuel
A1 Heredia Conde, Miguel
K1 Single-shot
K1 Multifrequency
K1 Time-of-flight
K1 Depth imaging
K1 Transient imaging
K1 Compressive sensing
K1 Dictionary learning
K1 Sensado compresivo
K1 Cámara de tiempo de vuelo
K1 Imagen 3D
AB In this work, we propose a single-shot transient imaging framework that combines sparsity-based signal modeling with compressive frequency-domain sampling. The temporal response function of a scene encodes rich information about depth and light transport, and its accurate reconstruction is critical for various imaging applications. To enable transient recovery from a limited number of measurements, we exploit learned sparse representations in an optimized dictionary basis. We compare multiple sampling strategies in the frequency domain and show that both transient profiles and depth maps can be reconstructed under highly compressed acquisition. Notably, we achieve full transient reconstruction using only 16 modulation frequencies, based on real correlation functions, enabling practical singleshot acquisition through spatial frequency multiplexing
PB IEEE
SN 979-8-3315-7799-5
YR 2026
FD 2026-02-17
LK https://hdl.handle.net/10347/46241
UL https://hdl.handle.net/10347/46241
LA eng
NO P. F. Shahandashti, P. López, V. M. Brea, D. García-Lesta and M. H. Conde, "Single-Shot Transient Imaging Via Compressed Time-Of-Flight Imaging And Dictionary Learning," 2025 IEEE International Conference on Image Processing Workshops (ICIPW), Anchorage, AK, USA, 2025, pp. 645-650, doi: 10.1109/ICIPW68931.2025.11385875.
NO Conference output from 2025 IEEE International Conference on Image Processing Workshops (ICIPW), 14–17 September 2025, Anchorage, Alaska, United States
NO This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 860370, in part by projects PID2021-128009OB-C32 from the MCIN/AEI/10.13039/501100011033, FEDER, European Union NextGenerationEU/PRTR, the European Regional Development Fund: Xunta de GaliciaConsellería de Cultura, Educación e Ordenación Universitaria Accreditation 2019–2022 ED431G-2019/04, and Reference Competitive Group Accreditation 2021–2024, GRC2021/48. This work also received financial support from ”Catedra Televes de Microelectrónica” (TSI-069100-2023-0010) by the PERTEChip, Secretaría de Estado de Telecomunicaciones e Infraestructuras Digitales, Ministerio de Asuntos Económicos y Transformación Digital, and has been co-funded by the European Union-NextGenerationEU
DS Minerva
RD 21 may 2026