现代电子技术2026，Vol.49Issue(19)：25-30,36,7.DOI:10.16652/j.issn.1004-373X.2026.19.004
多视角自适应融合的叶片光场图像超分辨方法
Blade light field image super-resolution method based on multi-view adaptive fusion
徐沛然 1赵纪元 1杨光 2韩瑞 3彭俊超1
作者信息
- 1. 北京信息科技大学 自动化学院,北京 100192
- 2. 中国航发四川燃气涡轮研究院,四川 绵阳 621703
- 3. 西安交通大学 机械工程学院,陕西 西安 710054
- 折叠
摘要
Abstract
A light field image super-resolution method called LFAFormer(light field angular transformer)based on angular adaptive attention mechanism and multi-layer perception structure is proposed to improve the detail restoration ability in aerial blade imaging.On the basis of the convolutional neural network(CNN)framework,this method designs a multi-layer perception module to extract feature information at different semantic levels layer by layer,and introduces the perspective adaptive weight mechanism to dynamically weight and fuse different sub-views by means of angular attention,so as to improve the utilization efficiency of key angular information.To enhance the structural consistency among multi-views,the angular consistency loss function is introduced to constrain the reconstruction image to maintain angular coherence in the case of the angular transformation.Quantitative evaluation and comparative verification were carried out on multiple light field data sets(including the actual collected aerial blade images).The results show that the proposed method is superior to the current mainstream methods in terms of peak signal-to-noise ratio(PSNR),structural SIMilarity(SSIM)and edge root mean square error(EdgeRMSE),especially in terms of edge sharpness and detail recovery.This method can effectively improve the image quality and diagnostic accuracy of light field imaging in the field of aviation parts detection,and provide robust support for high-precision visual inspection system,so it has a good application prospect.关键词
航空叶片/光场成像/特征检测/无损检测/超分辨/注意力机制/多视角自适应融合/角度一致性Key words
aviation blade/light field imaging/feature detection/non-destructive testing/super-resolution/attention mechanism/multi-view adaptive fusion/angular consistency分类
信息技术与安全科学引用本文复制引用
徐沛然,赵纪元,杨光,韩瑞,彭俊超..多视角自适应融合的叶片光场图像超分辨方法[J].现代电子技术,2026,49(19):25-30,36,7.
