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Joint quantization and diffusion for compressed sensing measurements of natural images

conference contribution
posted on 2015-05-30, 00:00 authored by Leo ZhangLeo Zhang, K-W Wong, Yushu Zhang, Q Lin
Recent research advances have revealed the computational secrecy of the compressed sensing (CS) paradigm. Perfect secrecy can also be achieved by normalizing the CS measurement vector. However, these findings are established on real-valued measurements while digital devices can only store the samples at a finite precision. Based on the distribution of measurements of natural images sensed by structurally random ensemble, a joint quantization and diffusion approach for the real-valued measurements is suggested. In this way, a nonlinear cryptographic diffusion is intrinsically imposed on the CS quantization process and the overall security level is thus enhanced. It is shown that
the proposed scheme is able to resist known-plaintext attack while the original CS scheme without quantization cannot.

History

Event

IEEE Circuits and Systems Society. Conference (2015 : Lisbon, Portugal)

Series

IEEE Circuits and Systems Society Conference

Pagination

2744 - 2747

Publisher

Institute of Electrical and Electronics Engineers

Location

Lisbon, Portugal

Place of publication

Piscataway, N.J.

Start date

2015-05-24

End date

2015-05-27

ISSN

0271-4302

ISBN-13

978-1-4799-8391-9

Language

eng

Publication classification

E Conference publication; E1.1 Full written paper - refereed

Copyright notice

2015, IEEE

Editor/Contributor(s)

[Unknown]

Title of proceedings

ISCAS 2015 : Proceedings of the 2015 IEEE International Symposium on Circuits and Systems