Interference reflection separation from a single image

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2009 Workshop on Applications of Computer Vision, WACV 2009
DOIs
Publication statusPublished - 2009 Dec 1
Event2009 Workshop on Applications of Computer Vision, WACV 2009 - Snowbird, UT, United States
Duration: 2009 Dec 72009 Dec 8

Publication series

Name2009 Workshop on Applications of Computer Vision, WACV 2009

Other

Other2009 Workshop on Applications of Computer Vision, WACV 2009
CountryUnited States
CitySnowbird, UT
Period09/12/709/12/8

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ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Vision and Pattern Recognition

Cite this

Chung, Y. C., Chang, S. L., Wang, J. M., & Chen, S. W. (2009). Interference reflection separation from a single image. In 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