Robust coding of encrypted images via structural matrix

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

16 Scopus Citations
View graph of relations

Author(s)

  • Yushu Zhang
  • Kwok-Wo Wong
  • Leo Yu Zhang
  • Wenying Wen
  • Jiantao Zhou
  • And 1 others
  • Xing He

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)202-211
Journal / PublicationSignal Processing: Image Communication
Volume39
Publication statusPublished - 1 Nov 2015

Abstract

In this work, we intend to design a robust coder, based on compressive sensing with structurally random matrix, for encrypted images over packet transmission networks. The proposed coder can be applied in the scenario that Alice needs a semi-trusted channel provider Charlie to encode and transmit the encrypted image to Bob. In particular, Alice first encrypts an image using globally random permutation and then sends the encrypted image to Charlie who samples the encrypted image using a structural matrix. Through an imperfect channel with packet loss, Bob receives the compressive measurements and reconstructs the original image by joint decryption and decoding. Experimental results show that the proposed coder can be considered as an efficient multiple description coder with a number of descriptions against packet loss.

Research Area(s)

  • Multiple description code, Packet loss, Robust coding of encrypted image, Structural matrix

Citation Format(s)

Robust coding of encrypted images via structural matrix. / Zhang, Yushu; Wong, Kwok-Wo; Zhang, Leo Yu; Wen, Wenying; Zhou, Jiantao; He, Xing.

In: Signal Processing: Image Communication, Vol. 39, 01.11.2015, p. 202-211.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review