@inproceedings{4195d5ffdb424645ab542eedf62cbca2,
title = "Depth of field guided reflection removal",
abstract = "Reflection removal aims at separating the mixture of the desired scene and the undesired reflections. Locating reflection and background edges is a key step for reflection removal. In this paper, we present a visual depth guided method to remove reflections. Our idea is to use Depth of Field (DoF) to label the background and reflection edges. We propose a DoF confidence map where pixels with higher DoF values are assumed to belong to the desired background components. Moreover, we observe that images with different resolutions show different properties in the DoF map. Thus, we introduce a multi-scale DoF computing strategy to classify edge pixels more efficiently. Based on the results of edge classification, the background and reflection layers can be separated. Experimental results validate the effectiveness of our method using real-world photos.",
keywords = "Depth of field, Layer separation, Reflection removal",
author = "Renjie Wan and Boxin Shi and Hwee, {Tan Ah} and Kot, {Alex C.}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 23rd IEEE International Conference on Image Processing, ICIP 2016 ; Conference date: 25-09-2016 Through 28-09-2016",
year = "2016",
month = sep,
day = "25",
doi = "10.1109/ICIP.2016.7532311",
language = "English",
series = "Proceedings - International Conference on Image Processing, ICIP",
publisher = "IEEE",
pages = "21--25",
booktitle = "2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings",
address = "United States",
}