VIDEO COMPRESSIVE SENSING WITH 3-D WAVELET AND 3-D NOISELET

被引：0

作者：

Lam, Dao ^{[1
]}

Wunsch, Donald ^{[1
]}

机构：

[1] Missouri Univ Sci & Technol, Dept Comp Engn, Rolla, MO 65409 USA

来源：

2012 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2012) | 2012年

关键词：

Compressive sensing; Wavelet; Noiselet; l(1)-norm; video coding;

D O I：

暂无

中图分类号：

TB8 [摄影技术];

学科分类号：

0804 ;

摘要：

A new compressive video sampling method is investigated. As opposed to other video sampling methods for which processing is conducted on a single-frame basis, this method is applied on multiple frames of the video stream. By exploiting the extension of Wavelet to 3-D with the support of Noiselet 3-D and combining it with fast reconstruction algorithms, this framework produces successful results quickly while maintaining the quality of the video stream. Despite its simplicty, this new approach outperforms other sophisticated methods.

引用

页码：893 / 896

页数：4

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