Distributed perceptual compressed sensing framework for multiview images

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

Research output: Contribution to journalArticle

4 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)821-823
Number of pages3
JournalElectronics Letters
Volume52
Issue number10
DOIs
Publication statusPublished - May 12 2016

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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