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A physics-informed low-rank deep neural network for blind and universal lens aberration correction
High-end lenses although offering high-quality images suffer from both insufficient
affordability and bulky design which hamper their applications in low-budget scenarios or on …
affordability and bulky design which hamper their applications in low-budget scenarios or on …
Temporally Consistent Atmospheric Turbulence Mitigation with Neural Representations
Atmospheric turbulence, caused by random fluctuations in the atmosphere's refractive index,
introduces complex spatio-temporal distortions in imagery captured at long range. Video …
introduces complex spatio-temporal distortions in imagery captured at long range. Video …
fNeRF: High Quality Radiance Fields from Practical Cameras
In recent years, the development of Neural Radiance Fields has enabled a previously
unseen level of photo-realistic 3D reconstruction of scenes and objects from multi-view …
unseen level of photo-realistic 3D reconstruction of scenes and objects from multi-view …
Representing domain-mixing optical degradation for real-world Computational Aberration Correction via vector quantization
Relying on paired synthetic data, existing learning-based Computational Aberration
Correction (CAC) methods are confronted with the intricate and multifaceted synthetic-to-real …
Correction (CAC) methods are confronted with the intricate and multifaceted synthetic-to-real …
A Physics-Informed Blur Learning Framework for Imaging Systems
Accurate blur estimation is essential for high-performance imaging across various
applications. Blur is typically represented by the point spread function (PSF). In this paper …
applications. Blur is typically represented by the point spread function (PSF). In this paper …
ConVRT: Consistent Video Restoration Through Turbulence with Test-time Optimization of Neural Video Representations
tmospheric turbulence presents a significant challenge in long-range imaging. Current
restoration algorithms often struggle with temporal inconsistency, as well as limited …
restoration algorithms often struggle with temporal inconsistency, as well as limited …
Design, Fabrication, and Optical Imaging Performance Comparison of Precision Microlens Arrays for Application in Plenoptic Microscopy Systems
C Kim, M Lee - Available at SSRN 5101337 - papers.ssrn.com
Design, Fabrication, and Optical Imaging Performance Comparison of Precision Microlens
Arrays for Application in Plenoptic Micro Page 1 Design, Fabrication, and Optical Imaging …
Arrays for Application in Plenoptic Micro Page 1 Design, Fabrication, and Optical Imaging …