采用独立可逆认证的图像篡改检测方法

王雨珂; 黄方军

doi:10.7652/xjtuxb202412014

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采用独立可逆认证的图像篡改检测方法

—————————————————————— | 更新时间：2025-07-28

- 采用独立可逆认证的图像篡改检测方法
- Image Tampering Detection Method Utilizing Independent Reversible Authentication
- 西安交通大学学报 2024年58卷第12期页码：141-152
- 作者机构：
  
  1. 中山大学网络空间安全学院,广东,深圳,518107
  2. 广东省信息安全技术重点实验室(中山大学), , ),广州,510006
- 作者简介：
  
  : 2024-05-29。作者简介: 王雨珂(2000—),女,硕士生
  黄方军(通信作者),男,教授,博士生导师。基金项目: 国家自然科学基金资助项目(62072481,U2336208,62472454)。
- 基金信息：
  
  : 2024-05-29。作者简介: 王雨珂(2000—),女,硕士生;黄方军(通信作者),男,教授,博士生导师。基金项目: 国家自然科学基金资助项目(62072481,U2336208,62472454)。
- DOI：10.7652/xjtuxb202412014
  中图分类号： TP391
- 网络首发：2024-12-10，
  
  纸质出版：2024
- 稿件说明：
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王雨珂, 黄方军. 采用独立可逆认证的图像篡改检测方法[J]. 西安交通大学学报, 2024,58(12):141-152.

WANG Yuke, HUANG Fangjun. Image Tampering Detection Method Utilizing Independent Reversible Authentication[J]. 2024, 58(12): 141-152.
王雨珂, 黄方军. 采用独立可逆认证的图像篡改检测方法[J]. 西安交通大学学报, 2024,58(12):141-152. DOI： 10.7652/xjtuxb202412014.

WANG Yuke, HUANG Fangjun. Image Tampering Detection Method Utilizing Independent Reversible Authentication[J]. 2024, 58(12): 141-152. DOI： 10.7652/xjtuxb202412014.

摘要

针对现有的图像篡改检测方法存在篡改定位不精确以及未受篡改区域不能有效进行无损恢复的问题

提出采用独立可逆认证的图像篡改检测方法。首先

采用图像分块的独立可逆认证方法

结合可逆信息隐藏算法的嵌入原理

将现有认证方法中的认证单元由常规的4×4图像子块缩小为4×3图像子块

解决了认证单元偏大的问题

提高了篡改检测的定位精度; 然后

根据子块特点

自适应地选取改进的像素值排序、局部直方图平移、差值扩展这3种可逆信息隐藏算法

保证每个子块至少可嵌入1 bit认证码的同时

将平均可嵌入认证码的数量提高到3.6 bit

实现了图像子块独立认证与提升了篡改检测正确率; 最后

考虑了3种可逆信息隐藏算法之间的连贯性与可逆性

以确保嵌入端的无效移位尽可能少

以及认证端认证信息的可靠提取。实验结果表明:对于未受篡改的图像区域

所提方法可以实现原始图像的无损恢复; 对于剪贴攻击、常数攻击、拼贴攻击和随机篡改等常见的篡改攻击

所提方法的初始正确检测率较现有最优方法平均可提升5.82%～22.3%

细化处理后的正确检测率可接近100%。

Abstract

To address the imprecise localization of tampering and ineffective recovery of untampered areas in current image tampering detection methods

a new independent reversible authentication-based approach for detecting image tampering is introduced. Initially

leveraging an image block-based independent reversible authentication technique and incorporating the embedding principles of reversible information hiding algorithms

the authentication units in existing methods are reduced from the conventional 4×4 image sub-blocks to 4×3 image sub-blocks. This modification tackles the issue of oversized authentication units

thereby enhancing the localization accuracy of tampering detection. Subsequently

based on the characteristics of sub-blocks

three enhanced reversible information hiding algorithms

specifically improved pixel value sorting

local histogram shifting

and difference expansion

are adaptively selected to ensure that each sub-block is embedded with at least 1 bit authentication code. This process increases the average embeddable authentication code quantity to 3.6 bits

facilitating independent authentication of image sub-blocks and improving tampering detection accuracy. Finally

the coherence and reversibility of the three reversible information hiding algorithms are considered to minimize irrelevant shifts during the embedding stage and ensure the reliable extraction of authentication information during the authentication stage. The experimental results demonstrate that the proposed method enables lossless recovery of the original image in untampered areas. When confronted with common tampering attacks such as cut-and-paste

constant manipulation

collage alterations

and random tampering

the initial accuracy rate of the proposed method can be improved by an average of 5.82% to 22.3% compared to existing optimal techniques

with the refined accuracy rate potentially approaching 100%.

关键词

Keywords

references

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