基于小波分解和轮廓分析的数字图像伪造检测

Abhishek Kashyap, R. Parmar, B. Suresh, Megha Agarwal, Hariom Gupta
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引用次数: 7

摘要

数字图像无处不在,在报纸上,在杂志封面上,在法庭上,在互联网上。一整天,我们都暴露在它们面前,大多数时候我们相信我们所看到的。由于市场上强大的编辑软件的存在,数字图像的可信度存在不确定性,因为这些图像可能被操纵,因此我们提出了基于边缘分析方法识别重复图像的方法。该方法能够在较短的处理时间内识别出图像的伪造区域,准确率达到81.50%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detection of digital image forgery using wavelet decomposition and outline analysis
Digital Images are everywhere, in newspapers, on the covers of the magazine, in courtrooms and all over the internet. Throughout the day, we are exposed to them and most of the time we trust what we see. Due to the presence of powerful editing software in the market, there is uncertainty on the credibility of the digital images as these might be manipulated, therefore we propose the methodology to identify the duplicated image based on edge analysis method. The proposed method is able to identify forged area of an image and it's accuracy is 81.50% with in small processing time.
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