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Self-Supervised Multibeam Sonar Restoration via Coherent Forward Modeling

Paper recorded by Signals 4 on 2026-10-22 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-22 on arXiv · recorded by Signals 4 on 2026-10-23

Category: cs.CV · 计算机视觉 · first seen 2026-10-23

Abstract

Multibeam imaging sonar produces intensity images degraded by coherent speckle and system-induced blur, while clean reflectivity targets are rarely available. Existing despeckling methods often rely on simplified intensity-domain noise models, synthetic clean targets, or blind-spot self-supervision, and typically do not jointly model deblurring and speckle suppression. We propose a physics-consi

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#188 most recent of 756 cs.CV papers we have recorded · ↑ newer: AgentVQA: A Unified Benchmark for Agentic Visual Understanding · ↓ older: Rethinking Video Autoencoders for Interactive World Models
Cite this page: Self-Supervised Multibeam Sonar Restoration via Coherent Forward Modeling: the #188 most recent of 756 cs.CV papers we have recorded (as of 2026-10-22). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/self-supervised-multibeam-sonar-restoration-via-coherent-forward-modeling.html
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