Compression and denoising of time-resolved light transport

Liang, Yun ; Chen, Mingqin ; Huang, Zesheng ; Gutierrez, Diego (Universidad de Zaragoza) ; Muñoz, Adolfo (Universidad de Zaragoza) ; Marco, Julio (Universidad de Zaragoza)

Resumen: Exploiting temporal information of light propagation captured at ultra-fast frame rates has enabled applications such as reconstruction of complex hidden geometry and vision through scattering media. However, these applications require high-dimensional and high-resolution transport data, which introduces significant performance and storage constraints. Additionally, due to different sources of noise in both captured and synthesized data, the signal becomes significantly degraded over time, compromising the quality of the results. In this work, we tackle these issues by proposing a method that extracts meaningful sets of features to accurately represent time-resolved light transport data. Our method reduces the size of time-resolved transport data up to a factor of 32, while significantly mitigating variance in both temporal and spatial dimensions.

Idioma: Inglés

DOI: 10.1364/OL.383130

Año: 2020

Publicado en: Optics Letters 45, 7 (2020), 1986-1989
ISSN: 0146-9592

Factor impacto JCR: 3.776 (2020)

Categ. JCR: OPTICS rank: 22 / 99 = 0.222 (2020) - Q1 - T1

Factor impacto SCIMAGO: 1.524 - Atomic and Molecular Physics, and Optics (Q1)

Financiación: info:eu-repo/grantAgreement/EC/H2020/682080/EU/Intuitive editing of visual appearance from real-world datasets/CHAMELEON
Financiación: info:eu-repo/grantAgreement/ES/MINECO/TIN2016-78753-P

Tipo y forma: Artículo (Versión definitiva)

Área (Departamento): Área Lenguajes y Sistemas Inf. (Dpto. Informát.Ingenie.Sistms.)