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Single‐image super resolution using evolutionary sparse coding technique

  • Published:2017-01 Issue:1 Volume:11 Page:13-21
  • ISSN:1751-9667
  • Container-title:IET Image Processing
  • language:en
  • Short-container-title:IET Image Processing

Author:

Ahmadi Kaveh1,Salari Ezzatollah1

Affiliation:

1. Department of Electrical Engineering and Computer ScienceUniversity of ToledoToledoOH43606USA

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference34 articles.

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. HiRN: Hierarchical recurrent neural network for video super-resolution (VSR) using two-stage feature evolution;Applied Soft Computing;2023-08

2. Contribution Analysis of Optimization Methods on Super-Resolution;Afyon Kocatepe University Journal of Sciences and Engineering;2021-12-31

3. A Super-resolution Reconstruction Method for Single-frame Character Images Based on Wavelet Neural Network;2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE);2021-12-17

4. Super‐resolution image reconstruction using molecular docking;IET Image Processing;2020-09-08

5. A New Single-Image Super-Resolution Using Efficient Feature Fusion and Patch Similarity in Non-Euclidean Space;Arabian Journal for Science and Engineering;2020-06-16
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