4 papers · 1 filter
Towards Universal Computational Aberration Correction in Photographic Cameras: A Comprehensive Benchmark Analysis
Xiaolong Qian, Qi Jiang, Yao Gao +5
Prevalent Computational Aberration Correction (CAC) methods are typically tailored to specific optical systems, leading to poor generalization and labor-intensive re-training for n…
Large-FOV RGBD Imaging via Structured PSF Coding in a Bio-inspired Monocentric System
Zongxi Yu, Xiaolong Qian, Shaohua Gao +4
High-fidelity large-field-of-view (LFOV) 3D sensing, essential for autonomous platforms, is hindered by the coupling of anisotropic off-axis aberrations and the ill-posed nature of…
Towards Single-Lens Controllable Depth-of-Field Imaging via Depth-Aware Point Spread Functions
Xiaolong Qian, Qi Jiang, Yao Gao +8
Controllable Depth-of-Field (DoF) imaging commonly produces amazing visual effects based on heavy and expensive high-end lenses. However, confronted with the increasing demand for…
Representing Domain-Mixing Optical Degradation for Real-World Computational Aberration Correction via Vector Quantization
Qi Jiang, Zhonghua Yi, Shaohua Gao +8
Relying on paired synthetic data, existing learning-based Computational Aberration Correction (CAC) methods are confronted with the intricate and multifaceted synthetic-to-real dom…