Zixin Wang, James Hopgood, Mike Davies · 2026 · arXiv
DOI: 10.48550/arXiv.2610.31490 · open-access PDF
Multibeam imaging sonar menghasilkan gambar intensitas degradasi oleh speckle koherent dan sistem-induced blur, sementara target refleksibilitas bersih jarang tersedia. Metode despeckling yang ada sering bergantung pada model kebisingan-domain yang disederhanakan, sasaran bersih sintetis, atau blind-spot self-surveillance, dan biasanya tidak bersama-sama model deblurring dan speckle suppression. Kami mengusulkan kerangka kerja yang konsisten dengan fisika untuk deblurring bersama dan deblurring dari multibeam imaging sonar.
Machine translation (Meta M2M100); the English original follows.
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-consistent self-supervised framework for joint despeckling and deblurring of multibeam imaging sonar. A stochastic coherent image-formation model yields a conditional-mean forward operator that relates laten
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