Presentation 2012-05-18
Image emphasis method using high frame-rate images
Danya SUGAI, Hiroshi KATAYAMA, Takayuki HAMAMOTO,
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Abstract(in English) We study the imaging system for reconstructing high-spatial resolution image using high frame-rate images from an image sensor. We adopt the spatial gradients with low estimated errors by predicting the motion vectors of the current frame from the motion vectors of the previous frame. In the case of applying the high frame-rate images, it is assumed that the temporal correlation between motion vectors is high. Therefore, using the spatial gradients, we can improve the accuracy of the motion estimation in the high frame-rate images. In this paper, we propose new method which uses 2 frame images for the estimation of spatial gradients. And we show the method of increasing spatial resolution using high frame-rate images as an application of the proposed method.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) High frame-rate / Motion estimation / Gradient method / Super resolution
Paper # IMQ2012-6
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Conference Information
Committee IMQ
Conference Date 2012/5/11(1days)
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Registration To Image Media Quality(IMQ)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Image emphasis method using high frame-rate images
Sub Title (in English)
Keyword(1) High frame-rate
Keyword(2) Motion estimation
Keyword(3) Gradient method
Keyword(4) Super resolution
1st Author's Name Danya SUGAI
1st Author's Affiliation Graduate School of Engineering, Tokyo University of Science()
2nd Author's Name Hiroshi KATAYAMA
2nd Author's Affiliation Graduate School of Engineering, Tokyo University of Science
3rd Author's Name Takayuki HAMAMOTO
3rd Author's Affiliation Graduate School of Engineering, Tokyo University of Science
Date 2012-05-18
Paper # IMQ2012-6
Volume (vol) vol.112
Number (no) 40
Page pp.pp.-
#Pages 4
Date of Issue