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20212025
most citedOptical Aberration Correction in Postprocessing using Imaging Simulation

60 citations · 136 across the 10 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

physics.optics2023★ 2 cited

Revealing the preference for correcting separated aberrations in joint optic-image design

Jingwen Zhou, Shiqi Chen, Zheng Ren +5

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 t…

cs.CV2023

Toward Real Flare Removal: A Comprehensive Pipeline and A New Benchmark

Zheyan Jin, Shiqi Chen, Huajun Feng +2

Photographing in the under-illuminated scenes, the presence of complex light sources often leave strong flare artifacts in images, where the intensity, the spectrum, the reflection…

cs.CV2023

Let Segment Anything Help Image Dehaze

Zheyan Jin, Shiqi Chen, Yueting Chen +2

The large language model and high-level vision model have achieved impressive performance improvements with large datasets and model sizes. However, low-level computer vision tasks…

cs.CV2023

Mobile Image Restoration via Prior Quantization

Shiqi Chen, Jinwen Zhou, Menghao Li +2

In digital images, the performance of optical aberration is a multivariate degradation, where the spectral of the scene, the lens imperfections, and the field of view together cont…

cs.CV2023★ 47 cited

Computational Optics for Mobile Terminals in Mass Production

Shiqi Chen, Ting Lin, Huajun Feng +3

Correcting the optical aberrations and the manufacturing deviations of cameras is a challenging task. Due to the limitation on volume and the demand for mass production, existing m…

cs.CV2023★ 60 cited

Optical Aberration Correction in Postprocessing using Imaging Simulation

Shiqi Chen, Huajun Feng, Dexin Pan +3

As the popularity of mobile photography continues to grow, considerable effort is being invested in the reconstruction of degraded images. Due to the spatial variation in optical a…

cs.CV2023

Reliable Image Dehazing by NeRF

Zheyan Jin, Shiqi Chen, Huajun Feng +3

We present an image dehazing algorithm with high quality, wide application, and no data training or prior needed. We analyze the defects of the original dehazing model, and propose…