Sequential image completion for high-speed large-pixel number sensing

Akira Hirabayashi, Naoki Nogami, Takashi Ijiri, Laurent Condat

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

We propose an algorithm that enhances the number of pixels for high-speed camera imaging to suppress its main problem. That is, the number of pixels reduces when the number of frames per second (fps) increases. To this end, we suppose an optical setup that block-randomly selects some percent of pixels in an image. Then, the proposed algorithm reconstructs the entire image from the selected partial pixels. In this algorithm, two types of sparsity are exploited. One is within each frame and the other is induced from the similarity between adjacent frames. The latter further means not only in the image domain but also in a sparsifying transformed domain. Since the cost function we define is convex, we can find the optimal solution using a convex optimization technique with small computational cost. Simulation results show that the proposed method outperforms the standard approach for image completion by the nuclear norm minimization.

本文言語English
ホスト出版物のタイトル2016 24th European Signal Processing Conference, EUSIPCO 2016
出版社European Signal Processing Conference, EUSIPCO
ページ948-952
ページ数5
2016-November
ISBN(電子版)9780992862657
DOI
出版ステータスPublished - 2016 11月 28
外部発表はい
イベント24th European Signal Processing Conference, EUSIPCO 2016 - Budapest, Hungary
継続期間: 2016 8月 282016 9月 2

Other

Other24th European Signal Processing Conference, EUSIPCO 2016
国/地域Hungary
CityBudapest
Period16/8/2816/9/2

ASJC Scopus subject areas

  • 信号処理
  • 電子工学および電気工学

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