Temporal forensic analysis of digital Camera sensor imperfections for picture dating

该研究计划的目的是调查相机传感器缺陷的时间变化，以建立，对于任何给定的数码相机，一个理论模型，使分析师能够估计数码照片的采集日期。这将推动法医学领域的发展，并有可能应用于需要为法庭目的提取证据信息的高知名度案件。在这个项目中，假设分析师拥有相机设备或由同一相机拍摄的一组可信图片，并且其采集时间是已知的。然后，目标是确定一个或多个图像的日期，这些图像据称是从同一来源获得的，并且其获取时间是未知的。这种应用程序显然将有助于法医调查人员分析事件和链接不同的events.The新颖性所提出的方法在于（i）新技术，有效地估计传感器模式噪声的时间分析的目的（ii）分类和时间分析的三种类型的像素，即，正常像素，异常，但尚未有缺陷的像素，和有缺陷的像素。(iii)使用机器学习技术对相机传感器缺陷的时间行为进行建模。

The research proposal aims to investigate the temporal variations of camera sensor imperfections in order to establish, for any given digital camera, a theoretical model that allows the analyst to estimate the acquisition date of digital pictures. This will advance the field of forensic science, with the potential for applications in high profile cases that require the extraction of evidential information for courtroom purposes. In this project, the analyst is assumed to have the camera device or a set of trusted pictures taken by the same camera and whose acquisition time is known. The goal is then to date one or more images supposedly obtained from the same source and whose acquisition time is unknown. This application will obviously help forensic investigators analyse incidents and link different events.The novelty of the proposed approach lies in (i) New techniques for efficiently estimating the sensor pattern noise for the purpose of temporal analysis (ii) Classification and temporal analysis of three types of pixels, namely, normal pixels, abnormal but not yet defective pixels, and defective pixels. (iii) Use of machine learning techniques to model the temporal behaviour of camera sensor imperfections.