安庆师范大学学报（自然科学版）2024，Vol.30Issue(2)：52-57,6.DOI:10.13757/j.cnki.cn34-1328/n.2024.02.009
基于联结扩张注意网络的图像去摩尔纹算法
Image Demoireing Algorithm Based on Associative Extended Attention Network
摘要
Abstract
In order to solve the problem of moire patterns in digital display images taken by cameras, a demoireing algo-rithm based on connected extended attention network is proposed. Firstly, based on lightweight baseline U-Net network, dy-namic feature pyramid (DFP) module is introduced into U-Net skip connections to construct the connection structure and real-ize multi-scale feature extraction and fusion. Secondly, an improved soft attention mechanism based on CBAM, RMAM is used to focus the color information of moire images. Finally, the network model is built on the above foundation, and it is trained and tested. Experimental results show that the proposed algorithm achieves a higher peak signal-to-noise ratio and structural similarity compared to other existing algorithms.关键词
图像处理/图像去摩尔纹/U-Net网络/多尺度/软注意力机制Key words
image processing/image demoireing/U-Net network/multi-scale/soft attention mechanism分类
信息技术与安全科学引用本文复制引用
孙光灵,卢慧敏,陈冲,黄磊,苏亮亮..基于联结扩张注意网络的图像去摩尔纹算法[J].安庆师范大学学报（自然科学版）,2024,30(2):52-57,6.基金项目
国家自然科学基金项目(62001004),安徽省高校协同创新项目(GXXT-2021-024),安徽省住房城乡建设科学技术计划项目(2023-YF058,2023-YF113),合肥工业大学"智能互联系统安徽省实验室"开放基金(PA2021AKSK0107)和新时代育人质量项目(2023zyxwjxalk112) （62001004）
