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Author:

Jiang, Nan (Jiang, Nan.) | Wang, Luo (Wang, Luo.) | Wu, Wen-Ya (Wu, Wen-Ya.)

Indexed by:

Scopus SCIE

Abstract:

Analogies between quantum image processing (QIP) and classical one indicate that quantum image scrambling (QIS), as important as quantum Fourier transform (QFT), quantum wavelet transform (QWT) and etc., should be proposed to promote QIP. Image scrambling technology is commonly used to transform a meaningful image into a disordered image by permutating the pixels into new positions. Although image scrambling on classical computers has been widely studied, we know much less about QIS. In this paper, the Hilbert image scrambling algorithm, which is commonly used in classical image processing, is carried out in quantum computer by giving the scrambling quantum circuits. First, a modified recursive generation algorithm of Hilbert scanning matrix is given. Then based on the flexible representation of quantum images, the Hilbert scrambling quantum circuits, which are recursive and progressively layered, is proposed. Theoretical analysis indicates that the network complexity scales squarely with the size of the circuit's input n.

Keyword:

Quantum computation Quantum circuit Hilbert image scrambling Quantum watermarking

Author Community:

  • [ 1 ] [Jiang, Nan]Beijing Univ Technol, Coll Comp, Beijing 100124, Peoples R China
  • [ 2 ] [Wang, Luo]Beijing Univ Technol, Coll Comp, Beijing 100124, Peoples R China
  • [ 3 ] [Wu, Wen-Ya]Beijing Univ Technol, Coll Comp, Beijing 100124, Peoples R China

Reprint Author's Address:

  • [Jiang, Nan]Beijing Univ Technol, Coll Comp, Beijing 100124, Peoples R China

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Source :

INTERNATIONAL JOURNAL OF THEORETICAL PHYSICS

ISSN: 0020-7748

Year: 2014

Issue: 7

Volume: 53

Page: 2463-2484

1 . 4 0 0

JCR@2022

ESI Discipline: PHYSICS;

ESI HC Threshold:202

JCR Journal Grade:3

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count: 113

SCOPUS Cited Count: 122

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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