Super resolution using trilateral filter regression interpolation

Ting An Chang, Kuan Ting Lee, Guan Cheng Chen, Shu Hui Chiu, Jar Ferr Yang

研究成果: Conference contribution

4 引文 斯高帕斯(Scopus)

摘要

The interpolation techniques for super resolution displays and their applications become more and more important since the video programs now are most with high definition. The linear-based interpolation algorithms bring out the jaggy noise noticeably. Recently, the new edge-directed interpolation (NEDI) is proposed to improve the accuracy with one-fold training sizes for predicting parameters. In this paper, the super resolution using trilateral filter regression interpolation (TFRI) is proposed. The trilateral filter is used to modify the adaptive filter suggested in the NEDI method. In the interpolation, the suitable weights are estimated from the pixels in the training window by the proposed trilateral filter. The experimental results demonstrate that the proposed method provides a superior performance such that the edge blurring and blocking effect can be greatly improved in comparison to the other state-of-the-art super resolution methods.

原文English
主出版物標題2017 IEEE 2nd International Conference on Signal and Image Processing, ICSIP 2017
發行者Institute of Electrical and Electronics Engineers Inc.
頁面86-89
頁數4
ISBN(電子)9781538609682
DOIs
出版狀態Published - 2017 十一月 29
事件2nd IEEE International Conference on Signal and Image Processing, ICSIP 2017 - Singapore, Singapore
持續時間: 2017 八月 42017 八月 6

出版系列

名字2017 IEEE 2nd International Conference on Signal and Image Processing, ICSIP 2017
2017-January

Other

Other2nd IEEE International Conference on Signal and Image Processing, ICSIP 2017
國家/地區Singapore
城市Singapore
期間17-08-0417-08-06

All Science Journal Classification (ASJC) codes

  • 訊號處理

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