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LensBridge framework tackles lens aberrations and veiling glare

Researchers have developed LensBridge, a novel two-stage framework designed to improve image quality by correcting lens aberrations and removing veiling glare. The system first establishes a reusable foundation for aberration correction using a large Lens Library and then adapts this foundation to handle compound degradation, which includes veiling glare, using only a few unpaired target observations. This adaptation is achieved through frequency-domain guidance, enabling the synthesis of realistic training pairs and conditioning separate adaptation branches for aberration and glare. AI

IMPACT Introduces a novel framework for image quality enhancement, potentially improving visual data in optical systems.

RANK_REASON The cluster describes a new technical framework and methodology presented in an academic paper. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

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LensBridge framework tackles lens aberrations and veiling glare

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The cluster describes a new technical framework and methodology presented in an academic paper. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · 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

    arXiv:2610.00318v1 Announce Type: cross Abstract: Simplified optical systems often exhibit residual lens aberrations and Veiling Glare (VG), resulting in spatially varying blur and contrast reduction. Large-scale Lens Libraries (LensLib) enable reusable aberration correction mode…