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A high-speed image super-resolution algorithm based on sparse representation for MEMS defect detection

  • Xiuyuan Li
  • , Yulong Zhao
  • , Tengjiang Hu
  • , Qi Zhang
  • , Yingxue Li
  • Xi'an Jiaotong University

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

A novel high- speed image super-resolution algorithm based on sparse representation for MEMS defect detection is proposed in this paper. Traditional super-resolution algorithms adopt a single dictionary to represent images, which cannot differentiate varieties of image blocks and leads to slow processing speed. Aiming at overcoming this shortage of traditional super-resolution algorithms, image blocks are divided into different categories by local features and each of these categories possesses the corresponding high and low resolution dictionary pairs. Experimental results of different MEMS defects show that the improved algorithm can obtain images of little lower quality with much less processing time, indicating that the proposed algorithm is more suitable for MEMS defect detection.

源语言英语
主期刊名2016 IEEE 11th Annual International Conference on Nano/Micro Engineered and Molecular Systems, NEMS 2016
出版商Institute of Electrical and Electronics Engineers Inc.
229-232
页数4
ISBN(电子版)9781509019472
DOI
出版状态已出版 - 28 11月 2016
活动11th IEEE Annual International Conference on Nano/Micro Engineered and Molecular Systems, NEMS 2016 - Sendai, 日本
期限: 17 4月 201620 4月 2016

丛书

姓名2016 IEEE 11th Annual International Conference on Nano/Micro Engineered and Molecular Systems, NEMS 2016

会议

会议11th IEEE Annual International Conference on Nano/Micro Engineered and Molecular Systems, NEMS 2016
国家/地区日本
Sendai
时期17/04/1620/04/16

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