Image Statistics in Digital Forensics

近年来，任何人都可以轻松地使用Adobe Photoshop等软件对图像进行数字处理。这为摄影师提供了强大的创作工具。不幸的是，它也很容易篡改图像与恶意。数字伪造者可以向新闻媒体提供虚假信息，并可以在法律的诉讼中篡改证据。在这个项目中，我们将与Adobe的研究人员合作，开发检测伪造的方法。当我们检查真实图像中的像素模式时，我们发现由于图像形成的方式而导致的某些统计错误。伪造者扰乱了这些信息，使我们有机会发现留下的微妙的统计痕迹。我们将研究与照明，颜色，对比度和透视相关的图像统计。

In recent years it has become easy for anyone to digitally manipulate images using software such as Adobe Photoshop. This puts powerful creative tools in the hands of photographers. Unfortunately, it also makes it easy to tamper with images with ill intent. The digital forger can provide false information to the news media and can alter evidence in a legal proceeding.In this project, we will collaborate with researchers at Adobe to develop methods for detecting forgeries. When we examine the pixel patterns within genuine images, we find certain statistical regularities due to the way the images are formed. The forger disturbs these regularities, giving us the opportunity to detect the subtle statistical traces left behind. We will investigate image statistics related to lighting, color, contrast, and perspective.