Revealing the preference for correcting separated aberrations in joint optic-image design
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Abstract (arXiv)
The joint design of the optical system and the downstream algorithm is a challenging and promising task. Due to the demand for balancing the global optimal of imaging systems and the computational cost of physical simulation, existing methods cannot achieve efficient joint design of complex systems such as smartphones and drones. In this work, starting from the perspective of the optical design, we characterize the optics with separated aberrations. Additionally, to bridge the hardware and software without gradients, an image simulation system is presented to reproduce the genuine imaging procedure of lenses with large field-of-views. As for aberration correction, we propose a network to perceive and correct the spatially varying aberrations and validate its superiority over state-of-the-art methods. Comprehensive experiments reveal that the preference for correcting separated aberrations in joint design is as follows: longitudinal chromatic aberration, lateral chromatic aberration, spherical aberration, field curvature, and coma, with astigmatism coming last. Drawing from the preference, a 10% reduction in the total track length of the consumer-level mobile phone lens module is accomplished. Moreover, this procedure spares more space for manufacturing deviations, realizing extreme-quality enhancement of computational photography. The optimization paradigm provides innovative insight into the practical joint design of sophisticated optical systems and post-processing algorithms.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 20 of its 53 references that are in the map. First posted on arXiv 8 Sep 2023.
Builds on
20 of 53 references.
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8 more
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Built on by
Citing papers per year: 2024: 2; 2025: 3; 2026: 1.
6 papers.
- 2024Exploring Quasi-Global Solutions to Compound Lens Based Computational Imaging Systemscited by 7
- 2025A Physics-Informed Blur Learning Framework for Imaging Systemscited by 5
- 2024Successive optimization of optics and post-processing with differentiable coherent PSF operator and field informationcited by 3
- 2025Towards Blind Lens Aberration Correction via Large LensLib Pre-training and Discrete Degradation Priorscited by 1
- 2025CircleFlow: Flow-Guided Camera Blur Estimation using a Circle Grid Targetcited by 0
- 2026Towards Universal Computational Aberration Correction in Photographic Cameras: A Comprehensive Benchmark Analysiscited by 0
- 2026Towards Universal Computational Aberration Correction in Photographic Cameras: A Comprehensive Benchmark Analysis12 Mar 2026
- 2025CircleFlow: Flow-Guided Camera Blur Estimation using a Circle Grid Target30 Nov 2025
- 2025Towards Blind Lens Aberration Correction via Large LensLib Pre-training and Discrete Degradation Priors21 Nov 2025
- 2025A Physics-Informed Blur Learning Framework for Imaging Systems17 Feb 2025
- 2024Successive optimization of optics and post-processing with differentiable coherent PSF operator and field information19 Dec 2024
- 2024Exploring Quasi-Global Solutions to Compound Lens Based Computational Imaging Systems30 Apr 2024