Interference reflection separation from a single image

Yun Chung Chung, Shyang Lih Chang, Jung Ming Wang, Sei Wang Chen

研究成果: 書貢獻/報告類型會議貢獻

10 引文 斯高帕斯(Scopus)

摘要

The interference image is defined as the superpositioning of a reflection image and an object image. A technique for separating reflection and object components of a single interference image is presented. The proposed method classifies edges of the interference image into either reflection or object related. Our method utilizes total variation (TV) method, blur measure, and region segmentation as evidence with a fuzzy integral technique to classify the edge pixels. Based on the results of edge pixel classification, the reflection and object components of the input image are reconstructed. Compared to previous published research, the proposed method is fast and requires no manual operations. The experimental results have demonstrated that the proposed method can perform separation of a single interference image effectively with small misadjustments and rapid convergence.

原文英語
主出版物標題2009 Workshop on Applications of Computer Vision, WACV 2009
DOIs
出版狀態已發佈 - 2009 十二月 1
事件2009 Workshop on Applications of Computer Vision, WACV 2009 - Snowbird, UT, 美国
持續時間: 2009 十二月 72009 十二月 8

出版系列

名字2009 Workshop on Applications of Computer Vision, WACV 2009

其他

其他2009 Workshop on Applications of Computer Vision, WACV 2009
國家美国
城市Snowbird, UT
期間09/12/709/12/8

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Vision and Pattern Recognition

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  • 引用此

    Chung, Y. C., Chang, S. L., Wang, J. M., & Chen, S. W. (2009). Interference reflection separation from a single image. 於 2009 Workshop on Applications of Computer Vision, WACV 2009 [5403036] (2009 Workshop on Applications of Computer Vision, WACV 2009). https://doi.org/10.1109/WACV.2009.5403036