Spectral Rendering: from Input to Rendering Process

Tutkimustuotos: KonferenssiartikkeliTieteellinenvertaisarvioitu

Abstrakti

Spectral rendering encompasses methods aimed at generating synthetic imagery with realistic color expression by simulating the interaction of light with different materials and wavelengths. Unlike conventional rendering methods that use tristimulus RGB values as input, spectral rendering uses the full spectrum of light as input, which allows for more accurate color reproduction and more realistic visual effects. Spectral rendering poses many new challenges in terms of input data acquisition, memory use, and efficiency. In this paper, we provide a comprehensive survey of the recent advances and open problems in spectral rendering, covering the main stages of the rendering pipeline such as spectrum sampling and reconstruction, RGB to spectrum upsampling, and selection of paths and wavelengths at rendering. We also discuss the applications that benefit from spectral rendering. Our goal is to provide an elaborate overview of the current state-of-the-art and to identify future research directions and opportunities in this exciting field.

AlkuperäiskieliEnglanti
OtsikkoIS&T International Symposium on Electronic Imaging 2024
AlaotsikkoImage Processing: Algorithms and Systems XXII
KustantajaSociety for Imaging Science and Technology
DOI - pysyväislinkit
TilaJulkaistu - 2024
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaIS and T International Symposium on Electronic Imaging: Image Processing: Algorithms and Systems - San Francisco, Yhdysvallat
Kesto: 21 tammik. 202425 tammik. 2024

Julkaisusarja

NimiIS&T International Symposium on Electronic Imaging Science and Technology
Numero10
Vuosikerta36
ISSN (elektroninen)2470-1173

Conference

ConferenceIS and T International Symposium on Electronic Imaging: Image Processing: Algorithms and Systems
Maa/AlueYhdysvallat
KaupunkiSan Francisco
Ajanjakso21/01/2425/01/24

Julkaisufoorumi-taso

  • Jufo-taso 1

!!ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Human-Computer Interaction
  • Software
  • Electrical and Electronic Engineering
  • Atomic and Molecular Physics, and Optics

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