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Proceedings Paper

Joint technique of fine object boundary recovery and foreground image deblur for video including moving objects
Author(s): Yuki Matsushita; Hiroshi Kawasaki; Teruhisa Takano; Shintaro Ono; Katsushi Ikeuchi
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Paper Abstract

Capturing large-scale outdoor scene by video camera becomes common for various purposes, such as city modeling, surveillance, etc., and demand of recovering high quality image from video data is increasing. Because outdoor scene includes several barriers with multiple depths and motions, e.g.., cars or fences, simply applying motion deblur technique to each frame makes some noise. Furthermore, since color is mixed with foreground and background object near occluding boundary, color separation method during deblurring process is needed to restore the objects. In this paper, we propose a method to recover original boundary of foreground object from multiple blurred input images of video data. By using the refined object boundary, artifact around the border is reduced and accurate deblurring in the whole image is performed. Since both techniques are based on statistical method, quality of recovered image becomes better, if a number of input image increases. Experimental results are shown to prove that our method successfully recovers the deblurred image even if there are severe motion blur and color mixture near occluding boundary.

Paper Details

Date Published: 14 May 2017
PDF: 8 pages
Proc. SPIE 10338, Thirteenth International Conference on Quality Control by Artificial Vision 2017, 103380R (14 May 2017); doi: 10.1117/12.2266746
Show Author Affiliations
Yuki Matsushita, Kagoshima Univ. (Japan)
Hiroshi Kawasaki, Kagoshima Univ. (Japan)
Teruhisa Takano, The Univ. of Tokyo (Japan)
Shintaro Ono, The Univ. of Tokyo (Japan)
Katsushi Ikeuchi, The Univ. of Tokyo (Japan)


Published in SPIE Proceedings Vol. 10338:
Thirteenth International Conference on Quality Control by Artificial Vision 2017
Hajime Nagahara; Kazunori Umeda; Atsushi Yamashita, Editor(s)

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