arXiv Computer Vision By Xiaolong Qian, Zhonghua Yi, Qi Jiang, Kailun Yang, Shuhang Xie, Shaohua Gao, Kaiwei Wang

LensBridge: Frequency-Guided Compound Degradation Adaptation for Lens Aberration Correction and Veiling Glare Removal

Read the original on arXiv Computer Vision →

LensBridge is a two‑stage framework that extends reusable aberration‑correction models to handle both lens aberrations and veiling glare (VG). Stage I builds a PSF‑aware diffusion foundation using discrete degradation priors from a large Lens Library, enabling aberration correction without explicit PSF input. Stage II adapts this foundation to compound degradation via frequency‑guided techniques—Frequency‑guided Degradation Completion (FDC) synthesizes training pairs and Frequency‑guided Pseudo Decomposition (FPD) conditions separate adaptation branches—allowing joint aberration correction and VG removal with only a few unpaired target observations.

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