Image Statistics in Digital Forensics

近年来，任何人都可以很容易地使用Adobe Photoshop等软件对图像进行数字处理。这让摄影师掌握了强大的创意工具。不幸的是，这也使得恶意篡改图像变得容易。数字伪造者可以向新闻媒体提供虚假信息，并可以在法律诉讼中改变证据。在这个项目中，我们将与Adobe的研究人员合作开发检测伪造品的方法。当我们检查真实图像中的像素模式时，由于图像的形成方式，我们发现了一定的统计规律。伪造者扰乱了这些规律，让我们有机会检测到留下的细微的统计痕迹。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.