数据采集与处理2026，Vol.41Issue(1)：187-201,15.DOI:10.16337/j.1004-9037.2026.01.013
基于多重伪影抑制与多级融合的高动态范围成像
High Dynamic Range Imaging with Multiple Artifact Suppression and Multilevel Fusion
摘要
Abstract
Due to the limitations of existing imaging equipment,it is difficult to obtain high dynamic range(HDR)images directly.High dynamic range imaging technology is designed to generate HDR images by processing low dynamic range(LDR)images.Most existing deep learning methods reconstruct HDR images by fusing multiple images with different exposures.However,due to the relative movement of foreground and background,artifacts appear in the final reconstruction result.Existing methods only perform artifact elimination before fusing multiple images with different exposures,which leads to a heavy dependence of the final HDR image quality on the artifact suppression results before fusion.Moreover,the artifact information introduced during the fusion process is difficult to eliminate in subsequent reconstruction due to unsatisfactory artifact suppression.To address this,we propose a network framework for multi-artifact suppression of reconstructed features and multilevel information fusion to efficiently reconstruct HDR images.First,we handle the differences between different images and features through multiple artifact suppression.Unlike existing methods that only process images or features before fusion,we perform multiple artifact suppression block(MASB)on the features during the reconstruction process to further suppress artifacts in the reconstructed features.Simultaneously,to better utilize the features of non-reference input images,we propose a multilevel fusion block(MFB),through which complementary information from non-reference images can be further extracted.Experimental comparisons on multiple datasets demonstrate that the proposed method achieves better performance in both subjective visual effects and objective metrics.关键词
高动态范围成像/深度学习/多重伪影抑制/多级融合Key words
high dynamic range imaging/deep learning/multiple artifact suppression/multilevel fusion分类
信息技术与安全科学引用本文复制引用
罗俊成,谢明鸿,张亚飞,李华锋..基于多重伪影抑制与多级融合的高动态范围成像[J].数据采集与处理,2026,41(1):187-201,15.基金项目
国家自然科学基金(62161015,62276120) （62161015,62276120）
云南省基础研究专项(202301AV070004). National Natural Science Foundation of China(Nos.26161015,62276120) （202301AV070004）
Yunnan Province Basic Research Spe-cial Project(No.202301AV070004). （No.202301AV070004）
