Demosaicing using variable-size classifiers and proportional weights

Chung-Yen Su, Jen Kang Tseng

研究成果: 書貢獻/報告類型會議論文篇章

2 引文 斯高帕斯(Scopus)

摘要

Demosaicing is a process of interpolating the missing colors of color filter array. Recently, a quite good demosaicing method using directional filtering and a posteriori decision has been proposed. However, the window size of classifiers in the decision is fixed, which may not be suitable for different kinds of image area. To solve this problem, we present variable-size classifiers in this paper. The size of classifiers is varied according to the roughness measurement of neighbor pixels. In addition, a scheme of proportional weights is proposed to increase the interpolated image quality. Combined with a modified refining step, the proposed method increases a little computational cost but can elevate the peak-signal to noise ratio up to 1.09 dB on average.

原文英語
主出版物標題2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings
發行者IEEE Computer Society
頁面493-496
頁數4
ISBN(列印)9781424456543
DOIs
出版狀態已發佈 - 2009 一月 1
事件2009 IEEE International Conference on Image Processing, ICIP 2009 - Cairo, 埃及
持續時間: 2009 十一月 72009 十一月 10

出版系列

名字Proceedings - International Conference on Image Processing, ICIP
ISSN(列印)1522-4880

其他

其他2009 IEEE International Conference on Image Processing, ICIP 2009
國家/地區埃及
城市Cairo
期間2009/11/072009/11/10

ASJC Scopus subject areas

  • 軟體
  • 電腦視覺和模式識別
  • 訊號處理

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