Ziran Zhang — accepted AI-conference papers

2024

Deep Linear Array Pushbroom Image Restoration: A Degradation Pipeline and Jitter-Aware Restoration Network

Zida Chen, Ziran Zhang, Haoying Li, Menghao Li, Yueting Chen, Qi Li +3

AAAI 2024technical

Linear Array Pushbroom (LAP) imaging technology is widely used in the realm of remote sensing. However, images acquired through LAP always suffer from distortion and blur because of camera jitter. Traditional methods for restoring LAP images, such as algorithms estimating the point spread function (…

Cited by 3 Source ↗PDF ↗code ↗Scholar ↗

2023

Real-World Deep Local Motion Deblurring

Haoying Li, Ziran Zhang, Tingting Jiang, Peng Luo, Huajun Feng, Zhihai Xu

AAAI 2023technical

Most existing deblurring methods focus on removing global blur caused by camera shake, while they cannot well handle local blur caused by object movements. To fill the vacancy of local deblurring in real scenes, we establish the first real local motion blur dataset (ReLoBlur), which is captured by a…

Cited by 35 Source ↗PDF ↗Scholar ↗