| 利用小波域同态滤波的伪造图像检测方法 |
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| 引用本文： | 刘苗,郑江滨.利用小波域同态滤波的伪造图像检测方法[J].计算机工程与应用,2009,45(34):169-170. |
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| 作者姓名： | 刘苗 郑江滨 |
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| 作者单位： | 西北工业大学计算机学院,西安,710072 |
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| 基金项目： | 教育部博士点新教师基金，西北工业大学基础研究基金 |
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| 摘 要： | 针对伪造图像中常用的模糊操作,提出一种伪造图像的检测方法,该方法首先对伪造图像进行小波域同态滤波,增强处于高频段的人为模糊边缘,然后利用数学形态方法腐蚀掉自然边缘,保留增强的模糊边缘,最后对腐蚀后的边缘图像进行区域标定,从而定位出伪造区域。实验证明该算法相对基于传统同态滤波伪造检测方法,能够较准确定位伪造区域,降低误检率。
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| 关 键 词： | 小波同态滤波 伪造图像检测 模糊边缘 |
| 收稿时间： | 2008-7-1 |
| 修稿时间： | 2008-10-20
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Digital forgery image detection method using wavelet homomorphic filtering |
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| LIU Miao,ZHENG Jiang-bin.Digital forgery image detection method using wavelet homomorphic filtering[J].Computer Engineering and Applications,2009,45(34):169-170. |
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| Authors: | LIU Miao ZHENG Jiang-bin |
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| Affiliation: | School of Computer，Northwestern Polytechnical University，Xi’an 710072，China |
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| Abstract: | A novel forgery image detection algorithm is proposed to recognise some traces of artifical blur operation that is one of common ways to forge an digital image.Firstly，a wavelet homonorphic filtering is applied to enhance the high frequency edges after the blurring process.Secondly，the natural edges are eroded by mathematical morphology method，then the enhanced artifical blur edges are preserved.Finally，the forgery image regions are detected by the region labeling method.Experimental results demonstrate the superiority of this proposed method over the traditional homonorphic filtering method.In addition，it can detect forgery area accurately and reduce the detecting errors. |
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| Keywords: | wavelet homomorphic filtering digital forgery image detection blur edges |
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