三维图像联合加密和压缩算法

杨威; 王青竹; 宋人杰; 张元东

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三维图像联合加密和压缩算法

更新时间：2026-09-04

- 三维图像联合加密和压缩算法
- Joint encryption and compression method for three dimensional images
- 微电子学与计算机 2020年37卷第7期页码：78-81
- 作者机构：
  
  1. 衢州光明电力投资集团有限公司赋腾科技分公司,浙江,衢州,324000
  2. 东北电力大学计算机学院,吉林,吉林省,132012
- 作者简介：
- 基金信息：
  
  国家自然科学基金 61301257
- DOI：
  中图分类号：
- 纸质出版：2020
- 稿件说明：
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杨威, 王青竹, 宋人杰, 张元东. 三维图像联合加密和压缩算法[J]. 微电子学与计算机, 2020, 37(7): 78-81.

YANG Wei, WANG Qing-zhu, SONG Ren-jie, et al. Joint encryption and compression method for three dimensional images[J]. 2020, 37(7): 78-81.
杨威, 王青竹, 宋人杰, 张元东. 三维图像联合加密和压缩算法[J]. 微电子学与计算机, 2020, 37(7): 78-81. DOI：

YANG Wei, WANG Qing-zhu, SONG Ren-jie, et al. Joint encryption and compression method for three dimensional images[J]. 2020, 37(7): 78-81. DOI：

摘要

现有联合加密和压缩算法对三维图像序列可达到足够高的解密精度或压缩比，但却不能同时达到高的解密精度和压缩比，因为图像序列一般都被单独处理，所以通常忽略了它们之间的关系.为解决上述问题，将张量压缩感知(TCS)联合加密和压缩的三维序列作为一个张量进行处理.为进一步增强安全性，构建一个非自治洛伦兹系统来控制TCS的三个测量矩阵.新算法保留了基于张量3D图像序列的内部结构，并实现了压缩比、解密精度和安全性之间的有效平衡.实验结果验证了提出方案的有效性和可靠性.

Abstract

Existing techniques for the simultaneous encryption and compression of three- dimensional (3D) image sequences may come with sufficient decryption accuracy or compression ratio

but do not inherently have both; the relationship between them is generally ignored because the images of a sequence are handled individually. To address this problem

we designed Tensor Compressive Sensing (TCS) to simultaneously encrypted compressa3D sequence a tensor rather than sever a 2Dimages. The proposed method preserves the intrinsic structure of tensor-based 3D image sequences and achieves favorable balance of compression ratio

decryption accuracy

and security. Numerical simulation results verify the validity and the reliability of the TCS scheme.

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references

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