湖南大学学报（自然科学版）2024，Vol.51Issue(6)：1-9,9.DOI:10.16339/j.cnki.hdxbzkb.2024261
联合核预测和特征推理的渐进式壁画修复算法
Progressive Mural Inpainting Algorithm Based on Joint Kernel Prediction and Feature Reasoning
摘要
Abstract
Aiming at the existing depth model that fails to take into account both pixel-level features and semantic-level features at the same time when repairing nurals,resulting in problems such as lack of texture fineness and structural distortion,a progressive mural inpaining algorithm that combines kernel prediction and feature reasoning is proposed.Firstly,the regional progressive module is designed to realize the progressive mapping of mural features through partial convolution.Then,a dual-branch repair module is proposed,in which the kernel predicts the volume integral branch to realize the pixel-level repair of the damaged area.The semantic feature reasoning branch introduces gated deformable convolution and combines the semantic consistency attention mechanism to realize feature reasoning to complete the semantic-level repair of damaged murals.Finally,the two-branch repair results are fused into the output to minimize the reconstruction error and improve the repair accuracy.Through the digital restoration experiment of Dunhuang murals,the results show that the restored murals by the proposed method have better structural texture characteristics,which are better than the comparison algorithm in terms of evaluation indicators.关键词
图像重构/壁画修复/核预测/语义特征推理/特征融合Key words
image reconstruction/mural inpainting/kernel predicting/semantic feature reasoning/feature fusion分类
信息技术与安全科学引用本文复制引用
陈永,赵梦雪,杜婉君,陶美风..联合核预测和特征推理的渐进式壁画修复算法[J].湖南大学学报（自然科学版）,2024,51(6):1-9,9.基金项目
国家自然科学基金资助项目(61963023),National Natural Science Foundation of China(61963023) （61963023）
教育部人文社会科学研究青年基金资助项目(19YJC760012),Humanities and Social Sciences Youth Foundation of Ministry of Education(19YJC760012) （19YJC760012）
兰州交通大学基础研究拔尖人才项目(2022JC36),Lanzhou Jiaotong University Basic Top-Notch Personnel Project(2022JC36) （2022JC36）
兰州交通大学重点研发项目(ZDYF2304),Key Research and Development Project of Lanzhou Jiaotong University(ZDYF2304) （ZDYF2304）
