An effective integer demosaicing based on directional filtering

Chung-Yen Su, Ming Kai Chang

研究成果: 書貢獻/報告類型會議貢獻

摘要

Nowadays many digital still cameras and mobile phones use single image sensor to capture the colors of a scene. In this way, only one of the three primary colors is obtained at each pixel location and the other two are missing. The goal of demosaicing or color interpolation is to estimate the missing colors so that a full-color image can be reconstructed. Although many demosaicing algorithms have been proposed, few of them are suitable for the implementation of integer (or fixed-point) processors and give good performance. To solve this problem, we present an effective integer demosaicing technique based on directional filtering. An appealing property is that all the divisions in the technique can be implemented by using only shifts. Moreover, a new directional refining step is proposed to improve the reconstructed image quality. Experimental results show that the proposed technique can give better performance than several integer techniques.

原文英語
主出版物標題Proceedings of the 2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011
頁面747-752
頁數6
出版狀態已發佈 - 2011 十二月 1
事件2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011 - Las Vegas, NV, 美国
持續時間: 2011 七月 182011 七月 21

出版系列

名字Proceedings of the 2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011
2

其他

其他2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011
國家美国
城市Las Vegas, NV
期間2011/07/182011/07/21

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

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