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Robust Data Hiding Scheme for Compressively Sensed Signals

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publication2018 26th European Signal Processing Conference (EUSIPCO)
PublisherIEEE
Pages1760-1764
Number of pages5
ISBN (Electronic)978-9-0827-9701-5
ISBN (Print)978-1-5386-3736-4
DOIs
Publication statusPublished - Sep 2018
Publication typeA4 Article in a conference publication
EventEuropean Signal Processing Conference -
Duration: 1 Jan 1900 → …

Publication series

Name
ISSN (Electronic)2076-1465

Conference

ConferenceEuropean Signal Processing Conference
Period1/01/00 → …

Abstract

We consider the problem of linear data hiding or watermark embedding directly onto compressively sensed measurements (CSMs). In our encoding and decoding scheme, we seek exact recovery of concealed data and a small reconstruction error for a sparse signal under the additive noise model. We propose an efficient Alternating Direction of Methods of Multiplier (ADMM) based decoding algorithm and we show through experimental results that proposed decoding scheme is more robust against additive noise compared to competing algorithms in the literature.

Keywords

  • compressed sensing, data encapsulation, decoding, encoding, signal reconstruction, watermarking, compressively sensed signals, linear data hiding, decoding scheme, reconstruction error, sparse signal, additive noise model, data hiding scheme, encoding scheme, alternating direction of methods of multiplier, compressively sensed measurements, watermark embedding, Signal processing algorithms, Decoding, Watermarking, Additive noise, Encryption, Compressed sensing, Compressive Sensing, Data Hiding, Image Encryption, Privacy Preserving

Publication forum classification

Field of science, Statistics Finland