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Depth of Field Segmentation for Near-Lossless Image Compression and 3D Reconstruction

Buelow, Max von ; Tausch, Reimar ; Schurig, Martin ; Knauthe, Volker ; Wirth, Tristan ; Guthe, Stefan ; Santos, Pedro ; Fellner, Dieter W. (2022)
Depth of Field Segmentation for Near-Lossless Image Compression and 3D Reconstruction.
In: Journal on Computing and Cultural Heritage, 2022
doi: 10.26083/tuprints-00021288
Article, Secondary publication, Postprint

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Item Type: Article
Type of entry: Secondary publication
Title: Depth of Field Segmentation for Near-Lossless Image Compression and 3D Reconstruction
Language: English
Date: 2022
Place of Publication: Darmstadt
Year of primary publication: 2022
Publisher: Association for Computing Machinery
Journal or Publication Title: Journal on Computing and Cultural Heritage
Collation: 16 Seiten
DOI: 10.26083/tuprints-00021288
Corresponding Links:
Origin: Secondary publication service
Abstract:

Over the years, photometric 3d reconstruction gained increasing importance in several disciplines, especially in cultural heritage preservation. While increasing sizes of images and datasets enhanced the overall reconstruction results, requirements in storage got immense. Additionally, unsharp areas in the background have a negative influence on 3d reconstructions algorithms. Handling the sharp foreground differently from the background simultaneously helps to reduce storage size requirements and improves 3d reconstruction results. In this paper, we examine regions outside the Depth of Field (DoF) and eliminate their inaccurate information to 3d reconstructions. We extract DoF maps from the images and use them to handle the foreground and background with different compression backends making sure that the actual object is compressed losslessly. Our algorithm achieves compression rates between 1:8 and 1:30 depending on the artifact and DoF size and improves the 3d reconstruction.

Status: Postprint
URN: urn:nbn:de:tuda-tuprints-212886
Classification DDC: 000 Generalities, computers, information > 004 Computer science
Divisions: 20 Department of Computer Science > Interactive Graphics Systems
Date Deposited: 06 May 2022 10:22
Last Modified: 03 Apr 2023 09:43
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/21288
PPN: 506523659
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