PDPM Indian Institute of Information Technology, Design & Manufacturing Jabalpur, MP 482005, India.
Forensic Sci Int. 2018 Nov;292:110-114. doi: 10.1016/j.forsciint.2018.09.017. Epub 2018 Sep 26.
The present work is an empirical study to check the importance of widely used PRNU extraction de-noising filters at different stages of source camera identification procedure. The proposed work is unique in the sense that it gives an idea about the choice of the appropriate de-noising filters at the time of PRNU extraction for formation of unique identification pattern of digital camera and noise residue extraction of query image. Also in this work, we have suggested the best values of σ (noise variance) for formation of unique identification pattern of digital camera and noise residue extraction of query image (based on empirical observations). This study has been performed to check that which part (camera unique identification pattern, noise residue, enhancement methods, and value of σ) mostly dominates the performance of source camera identification.
本工作是一项经验研究，旨在检查在源相机识别过程的不同阶段广泛使用的 PRNU 提取去噪滤波器的重要性。拟议的工作是独特的，因为它提供了有关在 PRNU 提取时选择适当的去噪滤波器的想法，以形成数字相机的独特识别模式和查询图像的噪声残留提取。此外，在这项工作中，我们还根据经验观察建议了形成数字相机的独特识别模式和查询图像的噪声残留提取的最佳 σ 值（噪声方差）。进行这项研究是为了检查哪个部分（相机独特识别模式、噪声残留、增强方法和 σ 值）对源相机识别的性能影响最大。
