圧縮センシングによるマルチフレーム超解像に関する一考察-広島市立大学機関リポジトリ

The super-resolution is a scheme to reconstruct a high-resolution image using one or more noisy low-resolution images of the same scene. The compressed sensing can be applied to acquire a high-dimensional sparse signal using several linear measurements. Assuming that natural images are sparse in a transformed domain such as a frequency one, we apply the compressed sensing method to the super-resolution problems and discuss the effect of filters.

掲載雑誌名

2012 IEEE SMC Hiroshima Chapter Young Researchers' Workshop Proceedings = 2012 IEEE SMC Hiroshima Chapter 若手研究会講演論文集

開始ページ

103

終了ページ

104

出版年月日

2012-07

出版者

IEEE SMC Hiroshima Chapter

本文言語

日本語

資料タイプ

会議発表論文

著者版フラグ

著者版

権利情報

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