应用细粒度分块重构的多信道图像信息分存算法

张选平; 李春枚; 邵利平

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应用细粒度分块重构的多信道图像信息分存算法

更新时间：2025-07-09

- 应用细粒度分块重构的多信道图像信息分存算法
- A Sharing Scheme of Multi-Channel Image Information in Small Granularity Block Reconstruction
- 西安交通大学学报 2010年44卷第6期页码：78-82+108
- 作者机构：
  
  西安交通大学计算机科学与技术系,西安,710049
- 作者简介：
- 基金信息：
  
  : 2009-09-16. 作者简介: 张选平(1963-),男,博士,副教授. 基金项目:国防“十一五”预研基金资助项目(282660008, 570851613);国家高技术研究发展计划资助项目(2008AA01Z131)
- DOI：
  中图分类号： TP391
- 网络首发：2010-06-10，
  
  纸质出版：2010
- 稿件说明：
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张选平, 李春枚, 邵利平. 应用细粒度分块重构的多信道图像信息分存算法[J]. 西安交通大学学报, 2010,44(6):78-82+108.

A Sharing Scheme of Multi-Channel Image Information in Small Granularity Block Reconstruction[J]. 2010, 44(6): 78-82+108.
张选平, 李春枚, 邵利平. 应用细粒度分块重构的多信道图像信息分存算法[J]. 西安交通大学学报, 2010,44(6):78-82+108. DOI：

A Sharing Scheme of Multi-Channel Image Information in Small Granularity Block Reconstruction[J]. 2010, 44(6): 78-82+108. DOI：

摘要

针对传统图像信息分存方法存在的抵御信道攻击能力有限、分发子信息利用率不高以及要求恢复秘密图像必须无损等问题

提出了一种基于细粒度分块重构的多信道图像信息分存算法.利用拉格朗日分存算法对秘密图像进行分存

以形成分发子信息; 对每个分发子信息进行细粒度分块

并依次通过雪崩图像置乱变换获得分块甄别信息; 将分发子信息与甄别信息用LSB法隐藏到掩体图像中

并通过多个信道传送.对接收到的每个分发子信息进行细粒度分块甄别

利用所有分发子信息中未受损部分对秘密图像进行重构.实验结果表明

所提算法能够精确地甄别攻击

提高各分发子信息的利用率

高效地重构秘密图像

即使在所有分发子信息受到一定攻击的情况下

也能充分利用各分发子信息重构出秘密图像.

Abstract

A sharing scheme of multi-channel image information in small granularity block reconstruction is proposed to improve the problems existing in conventional sharing schemes of image information

such as the limited ability in resisting channel attacks

the low utilization of distributed sub-information

and the requirement of the lossless restored secret image. Firstly

the secret image is shared to generate distributed sub-information using the Lagrange interpolation sharing algorithm. Then the avalanche image scrambling transformation algorithm is utilized to transform each block of distributed sub-information to gain authentication information. The LSB method is used to embed authentication information and distributed sub-information into host images

and then the host images are transmitted in multi-channel. The proposed method uses the embedded authentication information to identify the distributed sub-information in small granularity block

and makes full use of the undamaged blocks of the distributed sub-information to reconstruct the secret image. Experimental results show that the proposed scheme can identify attacks effectively

raise the utilization rate of the distributed sub-information

and reconstruct the secret image efficiently. Even when all of the distributed sub-information are subject to certain attacks

it can also make full use of the undamaged blocks of distributed sub-information to reconstruct the secret image.

关键词

Keywords

references

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