Optimizing Temporal Stability in Underwater Video Tone Mapping

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dc.contributor.authorFranz, Matthiasen_US
dc.contributor.authorThang, B. Matthiasen_US
dc.contributor.authorSackhoff, Pascalen_US
dc.contributor.authorScholz, Timonen_US
dc.contributor.authorMöller, Jannisen_US
dc.contributor.authorGrogorick, Steveen_US
dc.contributor.authorEisemann, Martinen_US
dc.contributor.editorGuthe, Michaelen_US
dc.contributor.editorGrosch, Thorstenen_US
dc.date.accessioned2023-09-25T11:39:24Z
dc.date.available2023-09-25T11:39:24Z
dc.date.issued2023
dc.description.abstractIn this paper, we present an approach for temporal stabilization of depth-based underwater image tone mapping methods for application to monocular RGB video. Typically, the goal is to improve the colors of focused objects, while leaving more distant regions nearly unchanged, to preserve the underwater look-and-feel of the overall image. To do this, many methods rely on estimated depth to control the recolorization process, i.e., to enhance colors (reduce blue tint) only for objects close to the camera. However, while single-view depth estimation is usually consistent within a frame, it often suffers from inconsistencies across sequential frames, resulting in color fluctuations during tone mapping. We propose a simple yet effective inter-frame stabilization of the computed depth maps to achieve stable tone mapping results. The evaluation of eight test sequences shows the effectiveness in a wide range of underwater scenarios.en_US
dc.description.sectionheadersImage Processing
dc.description.seriesinformationVision, Modeling, and Visualization
dc.identifier.doi10.2312/vmv.20231239
dc.identifier.isbn978-3-03868-232-5
dc.identifier.pages165-172
dc.identifier.pages8 pages
dc.identifier.urihttps://doi.org/10.2312/vmv.20231239
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/vmv20231239
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies Perception; Image processing
dc.subjectComputing methodologies Perception
dc.subjectImage processing
dc.titleOptimizing Temporal Stability in Underwater Video Tone Mappingen_US
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