Simultaneous deblur and super-resolution technique for video sequence captured by hand-held video camera

Yuki Matsushita, Hiroshi Kawasaki, Shintaro Ono, Katsushi Ikeuchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Nowadays, video camera is commonly used everywhere and demand of retrieving a single shot from video sequence is increasing. Since resolution of video camera is usually lower than that of digital camera, simply cutting out a frame from a video sequence ends up with low quality. Further, because of the necessity of high fps on video camera, video data inevitably contains motion blur and it leads mis-registration between frames which is critical for multi-frame superresolution. In this paper, we propose a method to restore high-resolution image from a video sequence considering motion blur. Since the frame-rate of a video camera is high, motion of the object in successive frames is small, and thus, stable feature tracking during short sequences is possible even if there is a blur. Thus, we adopt a division/integration approach to realize robust tracking for long sequence. We also propose a simultaneous deblur and super-resolution technique using multiple images based on MAP estimation. Experimental results are shown to prove the strength of our method.

Original languageEnglish
Title of host publication2014 IEEE International Conference on Image Processing, ICIP 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4562-4566
Number of pages5
ISBN (Electronic)9781479957514
DOIs
Publication statusPublished - Jan 28 2014
Externally publishedYes

Publication series

Name2014 IEEE International Conference on Image Processing, ICIP 2014

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All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

Cite this

Matsushita, Y., Kawasaki, H., Ono, S., & Ikeuchi, K. (2014). Simultaneous deblur and super-resolution technique for video sequence captured by hand-held video camera. In 2014 IEEE International Conference on Image Processing, ICIP 2014 (pp. 4562-4566). [7025925] (2014 IEEE International Conference on Image Processing, ICIP 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIP.2014.7025925