PRNU Extraction from Stabilized Video:A Patch Maybe Better than a Bunch  

作　　者：Bin Ma Yuanyuan Hu Jian Li Chunpeng Wang Meihong Yang Yang Zheng 

机构地区：[1]Qilu University of Technology(Shandong Academy of Sciences),Shandong Provincial Key Laboratory of Computer Networks,Jinan,250353,China [2]Shandong Computer Science Center,Shandong Provincial Key Laboratory of Computer Networks,Jinan,250014,China [3]University of Connecticut,Mansfield,CT,06269,USA

出　　处：《Computer Systems Science & Engineering》2021年第1期189-200,共12页计算机系统科学与工程（英文）

基　　金：funded by the National Natural Science Foundation of China(61872203 and 61802212);the Shandong Provincial Natural Science Foundation(ZR2019BF017);Major Scientific and Technological Innovation Projects of Shandong Province(2019JZZY010127,2019JZZY010132,and 2019JZZY010201);Jinan City“20 universities”Funding Projects Introducing Innovation Team Program(2019GXRC031);Plan of Youth Innovation Team Development of colleges and universities in Shandong Province(SD2019-161);the Project of Shandong Province Higher Educational Science and Technology Program(J18KA331).

摘　　要：This paper presents an algorithm to solve the problem of Photo-Response Non-Uniformity(PRNU)noise facing stabilized video.The stabilized video undergoes in-camera processing like rolling shutter correction.Thus,misalignment exists between the PRNU noises in the adjacent frames owing to the global and local frame registration performed by the in-camera processing.The misalignment makes the reference PRNU noise and the test PRNU noise unable to extract and match accurately.We design a computing method of maximum likelihood estimation algorithm for extracting the PRNU noise from stabilized video frames.Besides,unlike most prior arts tending to match the PRNU noise in whole frame,we propose a new patch-based matching strategy,aiming at reducing the influence from misalignment of frame the PRNU noise.After extracting the reference PRNU noise and the test PRNU noise,this paper adopts the reference and the test PRNU overlapping patch-based matching.It is different from the traditional matching method.This paper conducts different experiments on 224 stabilized videos taken by 13 smartphones in the VISION database.The area under curve of the algorithm proposed in this paper is 0.841,which is significantly higher than 0.805 of the whole frame matching in the traditional algorithm.Experimental results show good performance and effectiveness the proposed strategy by comparing with the prior arts.

关 键 词：Photo-response non-uniformity(PRNU) stabilized video frames maximum likelihood estimation PATCH 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]