@inproceedings{
xiao2024pbic,
title={P-BiC: Ultra-High-Definition Image Demoireing via Patch Bilateral Compensation},
author={Zeyu Xiao and Zhihe Lu and Xinchao Wang},
booktitle={ACM Multimedia 2024},
year={2024},
url={https://openreview.net/forum?id=DntswNJ3RN}
}
People are nowadays using smartphones to capture photos from multimedia platfroms. The presence of moir\'e patterns resulting from spectral aliasing can significantly degrade the visual quality of images, particularly in ultra-high-definition (UHD) images. However, existing demoir\'eing methods have mostly been designed for low-definition images, making them unsuitable for handling moir\'e patterns in UHD images due to their substantial memory requirements. In this paper, we propose a novel patch bilateral compensation network (P-BiC) for the demoir\'e pattern removal in UHD images, which is memory-efficient and prior-knowledge-based. Specifically, we divide the UHD images into small patches and perform patch-level demoir\'eing to maintain the low memory cost even for ultra-large image sizes. Moreover, a pivotal insight, namely that the green channel of an image remains relatively less affected by moir\'e patterns, while the tone information in moir\'e images is still well-retained despite color shifts, is directly harnessed for the purpose of bilateral compensation. The bilateral compensation is achieved by two key components in our P-BiC, i.e., a green-guided detail transfer (G$^2$DT) module that complements distorted features with the intact content, and a style-aware tone adjustment (STA) module for the color adjustment. We quantitatively and qualitatively evaluate the effectiveness of P-BiC with extensive experiments.
P-BiC: Ultra-High-Definition Image Demoireing via Patch Bilateral Compensation
Zeyu Xiao Zhihe Lu Xinchao Wang