Advanced Underwater Image Restoration in Complex Illumination Conditions
Yifan Song, Mengkun She, Kevin K\"oser

TL;DR
This paper introduces a novel volumetric approach for underwater image restoration in complex lighting conditions, especially for deep-sea environments with dynamic artificial illumination, improving scene appearance and 3D mapping.
Contribution
The method leverages appearance changes and volumetric constraints to efficiently restore images under complex, multi-light source conditions, surpassing shallow water techniques.
Findings
Robust restoration of true object albedo in challenging lighting
Effective handling of multi-light source scenarios
Facilitates large-scale 3D texturing and mapping
Abstract
Underwater image restoration has been a challenging problem for decades since the advent of underwater photography. Most solutions focus on shallow water scenarios, where the scene is uniformly illuminated by the sunlight. However, the vast majority of uncharted underwater terrain is located beyond 200 meters depth where natural light is scarce and artificial illumination is needed. In such cases, light sources co-moving with the camera, dynamically change the scene appearance, which make shallow water restoration methods inadequate. In particular for multi-light source systems (composed of dozens of LEDs nowadays), calibrating each light is time-consuming, error-prone and tedious, and we observe that only the integrated illumination within the viewing volume of the camera is critical, rather than the individual light sources. The key idea of this paper is therefore to exploit the…
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Taxonomy
TopicsImage Enhancement Techniques · Advanced Vision and Imaging · Computer Graphics and Visualization Techniques
MethodsFocus
