Affordable Access

Access to the full text

Non-iterative CS recovery algorithm for surveillance applications: subjective and real-time experience

Authors
  • Florence Gnana Poovathy, J.1
  • Radha, S.1
  • Suganesh, V.1
  • 1 SSN College of Engineering, Department of ECE, Chennai, Tamilnadu, 603110, India , Chennai (India)
Type
Published Article
Journal
Multidimensional Systems and Signal Processing
Publisher
Springer US
Publication Date
May 24, 2018
Volume
30
Issue
2
Pages
921–941
Identifiers
DOI: 10.1007/s11045-018-0584-2
Source
Springer Nature
Keywords
License
Yellow

Abstract

Non-iterative compressed sensing (CS) based recovery algorithms have been proposed in the recent years that efficiently recover the input from CS measurements without iterations. When it comes to reconstruction of images and videos for medical, military and surveillance applications, faster computations accompanied by least complexity and high accuracy is mandatory. Such large volumes of data can be effectively handled by non-iterative pseudo inverse based recovery algorithm (NIPIRA). This study uses NIPIRA to reconstruct the surveillance videos from the CS measurements and the algorithm’s efficiency is measured in terms of subjective measure and hardware implementation. The average peak signal to noise ratio exhibited by NIPIRA is around 32 dB; the mean opinion score is 3.5 that corresponds to ‘Fair’ quality reconstruction. Hardware implementation proves that NIPIRA recovers videos within seconds compared to iterative ones that take hours for the same. The upshot is that NIPIRA is perfectly suitable for surveillance applications.

Report this publication

Statistics

Seen <100 times