Fayyaz Shahandashti, PeymanLópez Martínez, PaulaBrea Sánchez, Víctor ManuelGarcía-Lesta, ManuelHeredia Conde, Miguel2026-03-032026-03-032026-02-17P. 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/ICIPW68931.2025.11385875.979-8-3315-7799-5https://hdl.handle.net/10347/46241Conference output from 2025 IEEE International Conference on Image Processing Workshops (ICIPW), 14–17 September 2025, Anchorage, Alaska, United StatesIn 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 multiplexingeng© 2026 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other worksSingle-shotMultifrequencyTime-of-flightDepth imagingTransient imagingCompressive sensingDictionary learningSensado compresivoCámara de tiempo de vueloImagen 3D3307 Tecnología electrónicabook part10.1109/ICIPW68931.2025.11385875embargoed access