3D Information from Scattering Media Images

Rahadianti, Laksmita

doi:10.21609/jiki.v14i1.963

Jurnal SINTA 2

3D Information from Scattering Media Images

Rahadianti, Laksmita^{University of Indonesia}

Jurnal Ilmu Komputer dan Informasi (JIKI) · Vol. 14 No. 1 (2021) · pp. 73–82

DOI: 10.21609/jiki.v14i1.963
ISSN: 2502-9274, 2088-7051
Published: 2021-02-28
Publisher: Faculty of Computer Science - Universitas Indonesia
Language: eng

Abstract

Scattering media environments are real-world conditions that occur often, in daily life. Some examples of scattering media are haze, fog, and other bad weather conditions. In these environments, micro-particles in the surrounding media interfere with light propagation and image formation. Thus, images that are captured in these scattering media environments will suffer from low contrast and loss of intensity. This becomes an issue for computer vision methods that employ features found in the scene. To solve this issue, many approaches must estimate the corresponding clear scene prior to further processing. However, the image formation model in scattering media shows potential 3D distance information about the scene encoded implicitly in image intensities. In this paper, we investigate the potential information that can be extracted directly from the scattering media images. We demonstrate the possibility of extracting relative depth in the form of transmission as well as explicit depth maps from single images.

Keywords

Collaboration network of the authors

7 authors · 9 co-authorship links

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University of Indonesia

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Co-author	Organisation	Joint articles
Made Prastha Nugraha	University of Indonesia	1
Ikhlasul Akmal Hanif	University of Indonesia	1
Eduardus Tjitrahardja	University of Indonesia	1
Rahmat Bryan Naufal	University of Indonesia	1
Steven Christ Pinantyo Arwidarasto	University of Indonesia	1
Alexander Calvin	University of Indonesia	1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://jiki.cs.ui.ac.id/index.php/jiki/oai, first harvested 26 Okt 2026, last seen 1 Nov 2026.

Original metadata (oai_dc)

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	<dc:title xml:lang="en-US">3D Information from Scattering Media Images</dc:title>
	<dc:creator>Rahadianti, Laksmita</dc:creator>
	<dc:subject xml:lang="en-US">scattering media</dc:subject>
	<dc:subject xml:lang="en-US">3D depth</dc:subject>
	<dc:subject xml:lang="en-US">transmission</dc:subject>
	<dc:subject xml:lang="en-US">statistical prior</dc:subject>
	<dc:subject xml:lang="en-US">airlight</dc:subject>
	<dc:description xml:lang="en-US">Scattering media environments are real-world conditions that occur often, in daily life. Some examples of scattering media are haze, fog, and other bad weather conditions. In these environments, micro-particles in the surrounding media interfere with light propagation and image formation. Thus, images that are captured in these scattering media environments will suffer from low contrast and loss of intensity. This becomes an issue for computer vision methods that employ features found in the scene. To solve this issue, many approaches must estimate the corresponding clear scene prior to further processing. However, the image formation model in scattering media shows potential 3D distance information about the scene encoded implicitly in image intensities. In this paper, we investigate the potential information that can be extracted directly from the scattering media images. We demonstrate the possibility of extracting relative depth in the form of transmission as well as explicit depth maps from single images.</dc:description>
	<dc:publisher xml:lang="en-US">Faculty of Computer Science  - Universitas Indonesia</dc:publisher>
	<dc:date>2021-02-28</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://jiki.cs.ui.ac.id/index.php/jiki/article/view/963</dc:identifier>
	<dc:identifier>10.21609/jiki.v14i1.963</dc:identifier>
	<dc:source xml:lang="en-US">Jurnal Ilmu Komputer dan Informasi; Vol. 14 No. 1 (2021): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information); 73-82</dc:source>
	<dc:source>2502-9274</dc:source>
	<dc:source>2088-7051</dc:source>
	<dc:source>10.21609/jiki.v14i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://jiki.cs.ui.ac.id/index.php/jiki/article/view/963/443</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2021 Jurnal Ilmu Komputer dan Informasi</dc:rights>
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