Image Statistics in Digital Forensics

数字取证中的图像统计

• 批准号: 0739255
• 负责人: Edward Adelson
• 金额: $ 11.1万
• 依托单位: Massachusetts Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-11-15 至 2010-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0739255&HistoricalAwards=false
• 关键词: Image; Statistics; Digital; Forensics

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.

近年来，任何人都可以使用Adobe Photoshop等软件来数字地操纵图像。这将强大的创意工具掌握在摄影师的手中。不幸的是，这也可以轻松篡改意图不佳的图像。数字伪造者可以向新闻媒体提供虚假信息，并可以改变法律程序中的证据。在该项目中，我们将与Adobe的研究人员合作开发检测伪造的方法。当我们检查真正图像中的像素模式时，由于形成图像的方式，我们发现某些统计规律性。伪造者打扰了这些规律性，使我们有机会发现留下的微妙统计痕迹。我们将研究与照明，颜色，对比和视角有关的图像统计信息。