## 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 |

巻 | 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 28 → 2016 9月 2 |

### Other

Other | 24th European Signal Processing Conference, EUSIPCO 2016 |
---|---|

国/地域 | Hungary |

City | Budapest |

Period | 16/8/28 → 16/9/2 |

## ASJC Scopus subject areas

- 信号処理
- 電子工学および電気工学