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
Y1 - 2009
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
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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
T2 - 2009 Workshop on Applications of Computer Vision, WACV 2009
Y2 - 7 December 2009 through 8 December 2009
ER -