计算机工程2025，Vol.51Issue(5)：257-265,9.DOI:10.19678/j.issn.1000-3428.0069822
基于自注意力特征蒸馏的轻量级图像超分辨率重建
Lightweight Image Super-Resolution Reconstruction Based on Self-Attention Feature Distillation
摘要
Abstract
Single Image Super-Resolution(SISR)reconstructs High-Resolution(HR)images from Low-Resolution(LR)images.In recent years,deep learning-based SISR methods have achieved outstanding reconstruction results,attracting widespread attention.However,most models suffer from high complexity and large parameter size,which affects their practical application.To overcome these issues,this study proposes a module based on self-attention feature distillation,which reduces complexity while fully extracting deep image features,achieving lightweight super-resolution reconstruction.The proposed module has two technical features.First,a feedback network based on asymmetric convolution is proposed for computing global attention,utilizing the superior nonlinear feature extraction capability of asymmetric convolution to compress input channels and reduce computational costs.Second,a partial channel shifting operation is introduced in the spatial attention module to increase feature diversity by shifting partial channels without increasing the computational complexity.In experiments on six commonly used public datasets,the proposed method outperforms representative lightweight SISR methods such as CARN,SMSR,and DLGSANet in terms of Peak Signal-to-Noise Ratio(PSNR),Structural Similarity Index(SSIM),and Learned Perceptual Image Patch Similarity(LPIPS).In addition,the subjective visual quality of the reconstruction results produced by the proposed method is superior.Overall,the proposed method achieves a better balance between model complexity and reconstruction performance.关键词
图像超分辨率/特征蒸馏/深度学习/非对称卷积/自注意力Key words
image super-resolution/feature distillation/deep learning/asymmetric convolution/self-attention分类
信息技术与安全科学引用本文复制引用
赵瑶谦,滕奇志,何小海,税爱,陈洪刚..基于自注意力特征蒸馏的轻量级图像超分辨率重建[J].计算机工程,2025,51(5):257-265,9.基金项目
国家自然科学基金(62001316) （62001316）
四川省科技计划(2024YFHZ0212) （2024YFHZ0212）
四川大学遂宁市校市战略合作"揭榜挂帅"科技项目(2022CDSN-15). （2022CDSN-15）
