DocPure: Prompt-Free Unified Document Restoration via Degradation-Aware Structure-Guided Wavelet Modulation
Published in IEEE Transactions on Circuits and Systems for Video Technology, 2026, 2026
Lingming Su, Wanglong Lu, Tao Wang, Kaihao Zhang, Nan Zhang, Liyan An, Hanli Zhao
Brief description:
DocPure is a prompt-free unified framework for restoring document images affected by diverse degradations. It uses a degradation-aware structure auto-encoder to predict clean structural priors from degraded inputs, then combines spatial semantics with frequency-domain features through structure-guided wavelet interaction. This design enables one model to handle multiple restoration tasks without manual task prompts during inference.
Highlights:
- Degradation-aware structure extraction through input-conditioned feature routing.
- Structure-guided wavelet interaction between spatial and frequency-domain representations.
- Cross-frequency adaptive modulation for recovering high-frequency text details while preserving document structure.
- Unified restoration across deblurring, denoising, compression artifact reduction, and deshadowing.
Recommended citation:
@article{su2026docpure,
title={DocPure: Prompt-Free Unified Document Restoration via Degradation-Aware Structure-Guided Wavelet Modulation},
author={Su, Lingming and Lu, Wanglong and Wang, Tao and Zhang, Kaihao and Zhang, Nan and An, Liyan and Zhao, Hanli},
journal={IEEE Transactions on Circuits and Systems for Video Technology},
year={2026}
}