A low-complexity intra-field restoring method for interlaced image

Fu Jhong Yang, Pei Yin Chen, Chih Yuan Lien, Ching Chieh Chen

研究成果: Conference contribution

摘要

In this paper, a low-complexity intra-field restoring method for interlaced image is presented. We employ an edge detector to recognize the edge direction of each processing position, and observing the pixel correlation and edge information. To reduce the computational complexity, we use intra-field de-interlacing method. Extensive experimental results demonstrate that our design achieved excellent performance in quantitative evaluation and visual quality than other image restoring techniques. The proposed algorithm has a simple computation structure. Therefore, it is suitable for real-time hardware implementation.

原文English
主出版物標題Proceedings of 2017 International Conference on Video and Image Processing, ICVIP 2017
發行者Association for Computing Machinery
頁面109-112
頁數4
ISBN(電子)9781450353830
DOIs
出版狀態Published - 2017 十二月 27
事件2017 International Conference on Video and Image Processing, ICVIP 2017 - Singapore, Singapore
持續時間: 2017 十二月 272017 十二月 29

出版系列

名字ACM International Conference Proceeding Series

Other

Other2017 International Conference on Video and Image Processing, ICVIP 2017
國家/地區Singapore
城市Singapore
期間17-12-2717-12-29

All Science Journal Classification (ASJC) codes

  • 軟體
  • 人機介面
  • 電腦視覺和模式識別
  • 電腦網路與通信

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