An efficient super resolution algorithm using simple linear regression

Shen-Chuan Tai, Tse Ming Kuo, Kuo Hao Li

研究成果: Conference contribution

2 引文 斯高帕斯(Scopus)

摘要

With the improvement in technology of thin-filmtransistor liquid-crystal display (TFT-LCD), the resolution requirement of display becomes higher and higher. Super-resolution algorithms are used to enlarge original low-resolution (LR) images to meet the visual quality of the high-resolution (HR) display. In this research, an efficient super resolution algorithm is proposed. The proposed algorithm consists of two steps. First, the Lanczos interpolation is used for LR images to get the preliminary HR images. For solving the over-smoothing problems generally caused by interpolation, it needs to add texture information to refine the preliminary HR images. Subsequently, a refinement process based on simple linear regression and the self-similarity between a pair of LR and HR images is performed to provide proper information of textures. In the experimental results, the proposed algorithm not only performs well in the objective measurement such as PSNR, but also in visual qualities.

原文English
主出版物標題Proceedings - 2013 2nd International Conference on Robot, Vision and Signal Processing, RVSP 2013
發行者IEEE Computer Society
頁面287-290
頁數4
ISBN(列印)9781479931842
DOIs
出版狀態Published - 2013 一月 1
事件2013 2nd International Conference on Robot, Vision and Signal Processing, RVSP 2013 - Kitakyushu, Japan
持續時間: 2013 十二月 102013 十二月 12

出版系列

名字Proceedings - 2013 2nd International Conference on Robot, Vision and Signal Processing, RVSP 2013

Other

Other2013 2nd International Conference on Robot, Vision and Signal Processing, RVSP 2013
國家/地區Japan
城市Kitakyushu
期間13-12-1013-12-12

All Science Journal Classification (ASJC) codes

  • 人工智慧
  • 訊號處理

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