Multiframe Super-Resolution for Flickering Objects

Abstract. In this paper, we propose a MAP-based multiframe superresolution method for flickering objects such as LED electronic message boards. Since LED message boards often flicker at low refresh rates, missing areas where LEDs are off during the exposure time of a camera by chance are observed. To suppress unexpected artifacts due to those missing areas, our proposed method detects outlier pixels on the basis of the spatio-temporal analysis of pixel values, and removes them from the MAP estimation by incorporating the weights of pixels into the likelihood term. We conducted a number of experiments using both real and synthetic images, and qualitatively and quantitatively confirmed that our method works better than the existing methods.

• Type: Journal
• Year: 2015
• Where: CAIP
• Authors: Atsushi Fukushima, Takahiro Okabe
• Keywords: CAIP 2015, Image Analysis