Distributed perceptual compressed sensing framework for multiview images

S. Elsayed, M. Elsabrouty, O. Muta, H. Furukawa

研究成果: Contribution to journalArticle査読

4 被引用数 (Scopus)

抄録

A perceptual-based compressed sensing (CS), which focuses the measurements and the recovery on the visually important low-frequency coefficients, is applied for multi-view image signals. High correlation among different views is exploited to generate signal prediction using disparity estimation and compensation techniques. A residual-based recovery is utilised as a joint recovery for the nonreference images to enhance the reconstruction performance. The proposed framework shows remarkable performance improvement over the conventional CS with joint recovery as well as the perceptualbased CS with independent recovery.

本文言語英語
ページ(範囲)821-823
ページ数3
ジャーナルElectronics Letters
52
10
DOI
出版ステータス出版済み - 5 12 2016

All Science Journal Classification (ASJC) codes

  • 電子工学および電気工学

フィンガープリント

「Distributed perceptual compressed sensing framework for multiview images」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル