A novel lossless recovery algorithm for basic matrix-based VSS

Xin Liu; Shen Wang; Jianzhi Sang; Weizhe Zhang

doi:10.1007/s11042-017-5215-7

A novel lossless recovery algorithm for basic matrix-based VSS

Xin Liu^*
, Shen Wang
, Jianzhi Sang
, Weizhe Zhang

^*Corresponding author for this work

School of Computer Science and Technology, Harbin Institute of Technology
Harbin University of Science and Technology

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

Lossless recovery is very important for visual secret share (VSS). In this paper, a novel lossless recovery algorithm for the basic matrix-based VSS is proposed. The algorithm has the merit of reconstructing secret image losslessly by using simple addition operation. The algorithm proves that the condition of lossless recovery of the secret image is ξ0 ∩ ξ1 = ∅ by analyzing the Hamming weight of adding all columns of basic matrixes. Simulations are conducted to evaluate the efficiency of the proposed scheme.

Original language	English
Pages (from-to)	16461-16476
Number of pages	16
Journal	Multimedia Tools and Applications
Volume	77
Issue number	13
DOIs	https://doi.org/10.1007/s11042-017-5215-7
State	Published - 1 Jul 2018
Externally published	Yes

Keywords

Addition
Basic matrix
Lossless recovery
Visual secret sharing

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10.1007/s11042-017-5215-7

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title = "A novel lossless recovery algorithm for basic matrix-based VSS",

abstract = "Lossless recovery is very important for visual secret share (VSS). In this paper, a novel lossless recovery algorithm for the basic matrix-based VSS is proposed. The algorithm has the merit of reconstructing secret image losslessly by using simple addition operation. The algorithm proves that the condition of lossless recovery of the secret image is ξ0 ∩ ξ1 = ∅ by analyzing the Hamming weight of adding all columns of basic matrixes. Simulations are conducted to evaluate the efficiency of the proposed scheme.",

keywords = "Addition, Basic matrix, Lossless recovery, Visual secret sharing",

author = "Xin Liu and Shen Wang and Jianzhi Sang and Weizhe Zhang",

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AU - Liu, Xin

AU - Wang, Shen

AU - Sang, Jianzhi

AU - Zhang, Weizhe

PY - 2018/7/1

Y1 - 2018/7/1

N2 - Lossless recovery is very important for visual secret share (VSS). In this paper, a novel lossless recovery algorithm for the basic matrix-based VSS is proposed. The algorithm has the merit of reconstructing secret image losslessly by using simple addition operation. The algorithm proves that the condition of lossless recovery of the secret image is ξ0 ∩ ξ1 = ∅ by analyzing the Hamming weight of adding all columns of basic matrixes. Simulations are conducted to evaluate the efficiency of the proposed scheme.

AB - Lossless recovery is very important for visual secret share (VSS). In this paper, a novel lossless recovery algorithm for the basic matrix-based VSS is proposed. The algorithm has the merit of reconstructing secret image losslessly by using simple addition operation. The algorithm proves that the condition of lossless recovery of the secret image is ξ0 ∩ ξ1 = ∅ by analyzing the Hamming weight of adding all columns of basic matrixes. Simulations are conducted to evaluate the efficiency of the proposed scheme.

KW - Addition

KW - Basic matrix

KW - Lossless recovery

KW - Visual secret sharing

UR - https://www.scopus.com/pages/publications/85029675423

U2 - 10.1007/s11042-017-5215-7

DO - 10.1007/s11042-017-5215-7

M3 - 文章

AN - SCOPUS:85029675423

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JO - Multimedia Tools and Applications

JF - Multimedia Tools and Applications

IS - 13

ER -

A novel lossless recovery algorithm for basic matrix-based VSS

Abstract

Keywords

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