Distributed perceptual compressed sensing framework for multiview images

S. Elsayed, M. Elsabrouty, Osamu Muta, Hiroshi Furukawa

研究成果: ジャーナルへの寄稿記事

4 引用 (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.

元の言語英語
ページ(範囲)821-823
ページ数3
ジャーナルElectronics Letters
52
発行部数10
DOI
出版物ステータス出版済み - 5 12 2016

Fingerprint

Compressed sensing
Recovery

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

これを引用

Distributed perceptual compressed sensing framework for multiview images. / Elsayed, S.; Elsabrouty, M.; Muta, Osamu; Furukawa, Hiroshi.

:: Electronics Letters, 巻 52, 番号 10, 12.05.2016, p. 821-823.

研究成果: ジャーナルへの寄稿記事

Elsayed, S. ; Elsabrouty, M. ; Muta, Osamu ; Furukawa, Hiroshi. / Distributed perceptual compressed sensing framework for multiview images. :: Electronics Letters. 2016 ; 巻 52, 番号 10. pp. 821-823.
@article{5c8232db719349529df08c75dfae7022,
title = "Distributed perceptual compressed sensing framework for multiview images",
abstract = "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.",
author = "S. Elsayed and M. Elsabrouty and Osamu Muta and Hiroshi Furukawa",
year = "2016",
month = "5",
day = "12",
doi = "10.1049/el.2016.0477",
language = "English",
volume = "52",
pages = "821--823",
journal = "Electronics Letters",
issn = "0013-5194",
publisher = "Institution of Engineering and Technology",
number = "10",

}

TY - JOUR

T1 - Distributed perceptual compressed sensing framework for multiview images

AU - Elsayed, S.

AU - Elsabrouty, M.

AU - Muta, Osamu

AU - Furukawa, Hiroshi

PY - 2016/5/12

Y1 - 2016/5/12

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84969542813&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84969542813&partnerID=8YFLogxK

U2 - 10.1049/el.2016.0477

DO - 10.1049/el.2016.0477

M3 - Article

AN - SCOPUS:84969542813

VL - 52

SP - 821

EP - 823

JO - Electronics Letters

JF - Electronics Letters

SN - 0013-5194

IS - 10

ER -