High-resolution video from series of still photographs

Authors:
Ge Jin;James K. Hahn
Affiliations:
Department of Computer Science, The George Washington University, Washington DC;Department of Computer Science, The George Washington University, Washington DC
Venue:
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
Year:
2006

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Abstract

In this paper, we explored the problem of creating a high-resolution video from a series of still photographs. Instead of enhancing the resolution from the video stream, we consider the problem of generating a high-resolution video as an image synthesis problem. Using the continuous shot in the digital camera, we can get a series of still photographs at 2 to 3 frames pre second. The main challenge in our approach is to synthesize the in between frames from two consecutive still images. The image synthesis approach varies based on the scene motion and image characteristics. We have applied optical flow, image segmentation, image filtering and skeleton based image warping techniques to generate high-resolution video.