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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. (Postprint)
In: Journal on Computing and Cultural Heritage, Association for Computing Machinery, ISSN 1556-4673, e-ISSN 1556-4711,
DOI: 10.26083/tuprints-00021288,
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Item Type: Article
Origin: Secondary publication service
Status: Postprint
Title: Depth of Field Segmentation for Near-Lossless Image Compression and 3D Reconstruction
Language: English
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.

Journal or Publication Title: Journal on Computing and Cultural Heritage
Publisher: Association for Computing Machinery
Collation: 16 Seiten
Classification DDC: 000 Allgemeines, Informatik, Informationswissenschaft > 004 Informatik
Divisions: 20 Department of Computer Science > Interactive Graphics Systems
Date Deposited: 06 May 2022 10:22
Last Modified: 06 May 2022 10:23
DOI: 10.26083/tuprints-00021288
Corresponding Links:
URN: urn:nbn:de:tuda-tuprints-212886
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/21288
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