提高了DCT方法在复杂光滑图像中检测复制-移动伪造的效率

2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI) Pub Date : 2015-11-01 DOI:10.1109/KBEI.2015.7436084

Elham Mohebbian, M. Hariri

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引用次数: 9

摘要

由于计算机和图像编辑软件的进步，数字图像易于操作和编辑。复制-移动伪造是图像伪造者在数字图像中最常用的篡改手法之一。考虑到输入图像的复杂性，提出了一种基于dct的图像伪造检测方法。为了检测重复区域，将图像分为平滑和复杂两类。为了提取特征，对每个块应用离散余弦变换(DCT)。实验结果表明，即使经过有损JPEG压缩、高斯模糊滤波和高斯白噪声污染等多种图像处理，该方法仍能准确检测出重复区域。

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Increase the efficiency of DCT method for detection of copy-move forgery in complex and smooth images

Digital images are easy to manipulate and edit due to advances in computers and image editing software. Copy-move forgery is one of the most popular tampering artifacts in digital images that used by image forgers. In this paper, a DCT-based method is developed to detect image forgery considering the complexity of input image. To detect duplicate region, images are divided into two categories: smooth and complex. To extract features discrete cosine transform (DCT) is applied to each block. Experimental results show that our proposed method is able to precisely detect duplicated regions even when the image was undergone several image manipulations like lossy JPEG compression, Gaussian blur filtering and Gaussian white noise contamination.

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2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI)

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