[1]柴新新,邱晓晖. 基于提升小波变换的图像篡改检测算法[J].计算机技术与发展,2016,26(04):78-81.
　CHAI Xin-xin,QIU Xiao-hui. Image Forgery Detection Algorithm Based on Lifting Wavelet Transform[J].,2016,26(04):78-81.
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 基于提升小波变换的图像篡改检测算法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
26
期数:
2016年04期
页码:
78-81
栏目:
智能、算法、系统工程
出版日期:
2016-04-10

文章信息/Info

Title:
 Image Forgery Detection Algorithm Based on Lifting Wavelet Transform
文章编号:
1673-629X（2016)04-0078-04
作者:
 柴新新; 邱晓晖
 南京邮电大学 通信与信息工程学院
Author(s):
 CHAI Xin-xin; QIU Xiao-hui
关键词:
 ; 复制粘贴; 提升小波变换; 奇异值分解; 欧氏距离
Keywords:
 ; copy-move; lifting wave transform; SVD; Euclidean distance
分类号:
TP301.6
文献标志码:
A
摘要:
 图像在人类的感知中扮演着非常重要的角色，所传递的信息比其他任何形式更加丰富真切，而互联网中存在着大量的图像图片并且传播快速，这就使得辨别图像的真伪变得尤为重要。复制粘贴操作是最为常见的图像篡改手段之一，通过该手段可以达到修改或隐藏目标图像的目的。针对复制粘贴操作，文中提出了一种基于提升小波变换的图像复制粘贴篡改检测算法。首先，对图像进行提升小波变换，提取低频分量，并将其按像素重叠分块；其次，对每个小块图像进行奇异值分解得到奇异值特征向量矩阵，并进行字典排序，再进行欧氏距离修正；最后，根据偏移向量判断相似图块。实验结果表明，该算法能够有效地减少计算量，降低复杂度，使检测结果更准确。
Abstract:
 Image in human perception plays a very important role,whose content is more plentiful. There are a large number of images in the Internet which spread quickly,so identifying image of authenticity is particularly important. The operation of copy-move is one of the frequently used techniques in image tampering,which can modify or hide the target image’ s information. For this means,a new approach toward copy-move forgery detection is proposed based on lifting wavelet transform. Firstly,the input image is decomposed into approxi-mation ( LL) subbands using lifting wavelet transform,and the LL subbands are divided into overlapping blocks. Secondly,singular value decomposition is applied to each block to obtain singular value feature matrix which is lexicographically sorted,and after sorting the ma-trix is fixed by Euclidean distance. Finally,the similar blocks can be judged by offset vectors. The experimental results demonstrate that the proposed method can reduce calculation amount and complexity effectively,and have more accurate detection results.

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更新日期/Last Update: 2016-06-16