您当前的位置:
首页 >
文章列表页 >
Iterative reconstruction of compressive sensing combining image hierarchical-feature
Information Sciences | 更新时间:2024-09-03
    • Iterative reconstruction of compressive sensing combining image hierarchical-feature

    • 在图像压缩感知重构领域,研究者提出了CHFNet算法,通过联合图像层级特征优化,有效提升了重构质量和效率。
    • Optics and Precision Engineering   Vol. 32, Issue 14, Pages: 2311-2324(2024)
    • DOI:10.37188/OPE.20243214.2311    

      CLC: TP394.1;TH691.9
    • Published:25 July 2024

      Received:01 March 2024

      Revised:19 April 2024

    移动端阅览

  • LIU Yuhong,YANG Heng.Iterative reconstruction of compressive sensing combining image hierarchical-feature[J].Optics and Precision Engineering,2024,32(14):2311-2324. DOI: 10.37188/OPE.20243214.2311.

  •  
  •  

0

Views

10

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Object reconstruction by compressive sensing based normalized ghost imaging
Cascade residual-optimized image super-resolution reconstruction in Transformer network
Active learning-clustering-group convolutions network for hyperspectral images classification
Collaborative classification of hyperspectral and LiDAR data based on CNN-transformer
DRT Net: dual Res-Transformer pneumonia recognition model oriented to feature enhancement

Related Author

GUO Shu-xu
ZHANG Chi
CAO Jun-sheng
ZHONG Fei
GAO Feng-Li
LIN Jianpu
WU Zhencheng
WANG Kunfu

Related Institution

Changchun Institute of Technology
Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences
State Key Laboratory on Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University
College of Physics and Telecommunication Engineering, Fuzhou University
Fujian Science and Technology Innovation Laboratory for Optoelectronic Information of China
0