计算机应用与软件2026，Vol.43Issue(3)：189-196,8.DOI:10.3969/j.issn.1000-386x.2026.03.028
基于局部特征非均匀提取的全景图像质量评价
PANORAMIC IMAGE QUALITY ASSESSMENT BASED ON NON-UNIFORM LOCAL FEATURE EXTRACTION
摘要
Abstract
The existing approaches for evaluating the quality of panoramic images suffer from issues such as lack of consistency between the observation space and representation space,and limited ability to fuse local quality.To address these issues,this paper proposes a quality assessment approach for panoramic images by leveraging non-uniform local feature extraction.The proposed method systematically explored the characteristics of both the human visual system and panoramic images,and introduced a fine-grained strategy for non-uniform local feature extraction in the feature domain.Moreover,it also utilized a self-attention mechanism to consider the quality dependencies among regions through a global perspective,which effectively aggregated the local perceptual features of each region.The experimental results on the CVIQ,LIVE 3D VR and MAVQD datasets validate the accuracy of the proposed framework and demonstrate the effectiveness of each module involved.关键词
全景图像/无参考图像质量评价/人类视觉特性/等距柱状投影Key words
Panoramic image/No-reference image quality assessment/Human visual system/Equidistant rectangular projection分类
信息技术与安全科学引用本文复制引用
贺斌,冯晨曦,钟微,叶龙,张勤..基于局部特征非均匀提取的全景图像质量评价[J].计算机应用与软件,2026,43(3):189-196,8.基金项目
国家重点研发计划"文化科技与现代服务业"重点专项(2021YFF0900503) （2021YFF0900503）
中国传媒大学中央高校基本科研业务费专项资金资助项目(CUC18LG024). （CUC18LG024）
