Constrained LMMSE-based object-specific reconstruction in compressive sensing

In many applications like surveillance, it is essential to detect the presence of specific objects by seeing an image or video without being concerned about details of the scene. The reconstruction algorithms proposed in the compressive sensing literature try to iteratively reconstruct the full imag...

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Veröffentlicht in:	IET signal processing Jg. 11; H. 9; S. 1122 - 1127
Hauptverfasser:	Tripathy, Soumya Ranjan, Panda, Ganapati, Majhi, Babita
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	The Institution of Engineering and Technology 01.12.2017
Schlagworte:	closed‐form reconstruction algorithm compressed sensing compressive sensing constrained LMMSE‐based object‐specific reconstruction ill‐conditioned matrix inversion problem image reconstruction linear minimum mean square error estimator matrix inversion mean square error methods modified Euler method regularization method Research Article regularization method modified Euler method compressed sensing matrix inversion image reconstruction constrained LMMSE-based object-specific reconstruction linear minimum mean square error estimator mean square error methods closed-form reconstruction algorithm compressive sensing ill-conditioned matrix inversion problem
ISSN:	1751-9675, 1751-9683, 1751-9683
Online-Zugang:	Volltext
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