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

8 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

Fingerprint

Pixels

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

Interference reflection separation from a single image. / Chung, Yun Chung; Chang, Shyang Lih; Wang, Jung Ming; Chen, Sei Wang.

2009 Workshop on Applications of Computer Vision, WACV 2009. 2009. 5403036 (2009 Workshop on Applications of Computer Vision, WACV 2009).

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

Chung, YC, Chang, SL, Wang, JM & Chen, SW 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, 2009 Workshop on Applications of Computer Vision, WACV 2009, Snowbird, UT, United States, 09/12/7. https://doi.org/10.1109/WACV.2009.5403036
Chung YC, Chang SL, Wang JM, Chen SW. Interference reflection separation from a single image. In 2009 Workshop on Applications of Computer Vision, WACV 2009. 2009. 5403036. (2009 Workshop on Applications of Computer Vision, WACV 2009). https://doi.org/10.1109/WACV.2009.5403036
Chung, Yun Chung ; Chang, Shyang Lih ; Wang, Jung Ming ; Chen, Sei Wang. / Interference reflection separation from a single image. 2009 Workshop on Applications of Computer Vision, WACV 2009. 2009. (2009 Workshop on Applications of Computer Vision, WACV 2009).
@inproceedings{c40afcf7c6cd46c6b5f331ce0de69c92,
title = "Interference reflection separation from a single image",
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.",
author = "Chung, {Yun Chung} and Chang, {Shyang Lih} and Wang, {Jung Ming} and Chen, {Sei Wang}",
year = "2009",
month = "12",
day = "1",
doi = "10.1109/WACV.2009.5403036",
language = "English",
isbn = "9781424454976",
series = "2009 Workshop on Applications of Computer Vision, WACV 2009",
booktitle = "2009 Workshop on Applications of Computer Vision, WACV 2009",

}

TY - GEN

T1 - Interference reflection separation from a single image

AU - Chung, Yun Chung

AU - Chang, Shyang Lih

AU - Wang, Jung Ming

AU - Chen, Sei Wang

PY - 2009/12/1

Y1 - 2009/12/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=77951153497&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77951153497&partnerID=8YFLogxK

U2 - 10.1109/WACV.2009.5403036

DO - 10.1109/WACV.2009.5403036

M3 - Conference contribution

AN - SCOPUS:77951153497

SN - 9781424454976

T3 - 2009 Workshop on Applications of Computer Vision, WACV 2009

BT - 2009 Workshop on Applications of Computer Vision, WACV 2009

ER -