Journal of Applied Optics, Volume. 45, Issue 2, 337(2024)
WhatsApp compressed video source camera identification based on photo response nonuniformity
[1] ZHANG Mingwang, XIAO Yanhui, TIAN Huawei et al. Review of device fingerprint extraction techniques in image[J]. Laser & Optoelectronics Progress, 57, 39-48(2020).
[2] LUKAS J, FRIDRICH J, GOLJAN M. Digital camera identification from sensor pattern noise[J]. IEEE Transactions on Information Forensics and Security, 1, 205-214(2006).
[3] CORTIANA A, CONOTTER V, BOATO G et al. Performance comparison of denoising filters for source camera identification[J]. SPIE:Media Watermarking, Security, and Forensics III, 7880, 60-65(2011).
[4] KANG X, CHEN J, LIN K et al. A context-adaptive SPN predictor for trustworthy source camera identification[J]. EURASIP Journal on Image and Video Processing, 2014, 1-11(2014).
[5] LAWGALY A, KHELIFI F. Sensor pattern noise estimation based on improved locally adaptive DCT filtering and weighted averaging for source camera identification and verification[J]. IEEE Transactions on Information Foren-sics and Security, 12, 392-404(2016).
[6] ZENG H, WAN Y, DENG K et al. Source camera identification with dual-tree complex wavelet transform[J]. IEEE Access, 18874-18883(2020).
[8] ALTINISIK E, TASDEMIR K, SENCAR H T. Mitigation of H. 264 and H. 265 video compression for reliable PRNU estimation[J]. IEEE Transactions on Information Forensics and Security, 15, 1557-1571(2019).
[9] CHUANG W H, SU H, WU M. Exploring compression effects for improved source camera identification using strongly compressed video[C], 1953-1956(2011).
[10] ALTINISIK E, TASDEMIR K, SENCAR H T. Extracting PRNU noise from H. 264 coded videos[C], 1367-1371(2018).
[11] YANG W C, JIANG J, CHEN C H. A fast source camera identification and verification method based on PRNU analysis for use in video forensic investigations[J]. Multimedia Tools and Applications, 80, 6617-6638(2021).
[12] SU K, TIAN N, PAN Q. Multimedia source identification using an improved weight photo response non-uniformity noise extraction model in short compressed videos[J]. Forensic Science International:Digital Investigation, 42, 301473(2022).
[13] TANG Wusheng, SUI Jinggao, ZHANG Xiaoya et al. Research on optical image stabilizer based on optical correlator[J]. Journal of Applied Optics, 35, 943-948(2014).
[14] ZENG H, KANG X. Fast source camera identification using content adaptive guided image filter[J]. Journal of Forensic Sciences, 61, 520-526(2016).
[15] BARADARANI A J, WU Q M, AHMADI M. An efficient illumination invariant face recognition framework via illumination enhancement and DD-DTCWT filtering[J]. Pattern Recognition, 46, 57-72(2013).
[16] SELESNICK I W, BARANIUK R G, KINGSBURY N C. The dual-tree complex wavelet transform[J]. IEEE Signal Processing Magazine, 22, 123-151(2005).
[17] FAN G, XIA X G. Image denoising using a local contextual hidden Markov model in the wavelet domain[J]. IEEE Signal Processing Letters, 8, 125-128(2001).
[18] SENDUR L, SELESNICK I W. Bivariate shrinkage functions for wavelet-based denoising exploiting interscale dependency[J]. IEEE Transactions on Signal Processing, 50, 2744-2756(2002).
[19] SHULLANI D, FONTANI M, IULIANI M et al. Vision: a video and image dataset for source identification[J]. EURASIP Journal on Information Security, 2017, 1-16(2017).
Get Citation
Copy Citation Text
Yihui CHEN, Nili TIAN, Qing PAN, Kaiqing SU. WhatsApp compressed video source camera identification based on photo response nonuniformity[J]. Journal of Applied Optics, 2024, 45(2): 337
Category: Research Articles
Received: Jun. 5, 2023
Accepted: --
Published Online: May. 28, 2024
The Author Email: Nili TIAN (田妮莉(1982—))