用于多光谱影像完整性认证的感知哈希算法

丁凯孟; 朱长青; 苏守宝; 王少平

doi:10.3788/OPE.20152313.0677

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用于多光谱影像完整性认证的感知哈希算法

更新时间：2020-08-13

- 用于多光谱影像完整性认证的感知哈希算法
- Perceptual hash algorithm for integrity authentication of multispectral remote sensing images
- 光学精密工程 2015年23卷第10z期页码：676-683
- 作者机构：
  
  1. 金陵科技学院网络与通信工程学院,江苏南京,211169
  2. 南京师范大学虚拟地理环境教育部重点实验室,江苏南京,210023
  3. 金陵科技学院江苏省智慧软件与云服务工程重点实验室, 江苏南京 211169
- 作者简介：
- 基金信息：
  
  国家自然科学基金资助项目(No.61375121,No.41301413)();国家社科基金重大项目(No.11&ZD162)();群体计算与智慧软件南京市科技创新团队
- DOI：10.3788/OPE.20152313.0677
  中图分类号： TP75
- 收稿日期：2015-06-05，
  
  修回日期：2015-06-21，
  
  纸质出版日期：2015-11-14
- 稿件说明：
移动端阅览
丁凯孟, 朱长青, 苏守宝等. 用于多光谱影像完整性认证的感知哈希算法[J]. 光学精密工程, 2015,23(10z): 676-683

DING Kai-meng, ZHU Chang-qing, SU Shou-bao etc. Perceptual hash algorithm for integrity authentication of multispectral remote sensing images[J]. Editorial Office of Optics and Precision Engineering, 2015,23(10z): 676-683
丁凯孟, 朱长青, 苏守宝等. 用于多光谱影像完整性认证的感知哈希算法[J]. 光学精密工程, 2015,23(10z): 676-683 DOI： 10.3788/OPE.20152313.0677.

DING Kai-meng, ZHU Chang-qing, SU Shou-bao etc. Perceptual hash algorithm for integrity authentication of multispectral remote sensing images[J]. Editorial Office of Optics and Precision Engineering, 2015,23(10z): 676-683 DOI： 10.3788/OPE.20152313.0677.

摘要

提出一种综合多光谱影像各波段内容特征的感知哈希算法

以实现基于感知内容的多光谱影像完整性认证

并将认证的粒度精确到具体波段。首先

对多光谱影像进行预处理

根据各波段信息丰富程度的不同

选择不同的特征提取方式;然后

分别基于边缘提取算法和离散余弦变换(DCT)变换提取各波段内容特征;最后

对提取的特征进行压缩与归一化处理

得到多光谱影像的感知哈希序列。多光谱影像的认证过程则是通过比较待认证波段的感知哈希序列和原始感知哈希序列之间的差异来实现的。实验证明

该算法能够有效实现多光谱影像的完整性认证

并能够将篡改定位到具体的波段

克服了现有感知哈希算法没有顾及多光谱影像数据特征的缺陷

为多光谱影像的有效利用提供了保障。

Abstract

A perceptual hashing algorithm for multispectral remote sensing images based on the synthetical characteristics of each band content was proposed to realize the authentication of multispectral images and to locate the tamper at the concrete band. Firstly

the multispectral remote sensing image was preprocessed and the feature extraction method for each band was determined by the information richness of the band. Then

the content feature of each band was extracted by edge extraction method and Discrete Cosine Transformation(DCT). Finally

the extracted feature was constructed based on the further compressed and normalized features

and the final perceptual hash value for the multispectral remote sensing image was obtained. The authentication was realized by comparing the difference between the recomputed perceptual hash value and the original hash value. The experiments indicate that the proposed algorithm can realize content integrity authentication for multispectral remote sensing images

and can locate the tamper at the concrete band of the image

which overcomes the defects of the existing perceptual hash algorithm without considering the feature of multispectral remote sensing images

and guarantees the effective utilization of multi-spectral images.

关键词

Keywords

references

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