{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T09:29:23Z","timestamp":1772789363513,"version":"3.50.1"},"reference-count":64,"publisher":"Springer Science and Business Media LLC","issue":"23","license":[{"start":{"date-parts":[[2023,3,17]],"date-time":"2023-03-17T00:00:00Z","timestamp":1679011200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,3,17]],"date-time":"2023-03-17T00:00:00Z","timestamp":1679011200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2023,9]]},"DOI":"10.1007\/s11042-023-15130-5","type":"journal-article","created":{"date-parts":[[2023,3,27]],"date-time":"2023-03-27T00:49:00Z","timestamp":1679878140000},"page":"36255-36277","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Analysis of large-deviation multifractal spectral properties through successive compression for double JPEG detection"],"prefix":"10.1007","volume":"82","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2740-2803","authenticated-orcid":false,"given":"Ana","family":"Gavrovska","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,3,17]]},"reference":[{"issue":"6","key":"15130_CR1","doi-asserted-by":"publisher","first-page":"1256","DOI":"10.1007\/s10955-011-0296-6","volume":"144","author":"J Barral","year":"2011","unstructured":"Barral J, Gon\u00e7alves P (2011) On the estimation of the large deviations Spectrum. J Stat Phys 144(6):1256\u20131283. https:\/\/doi.org\/10.1007\/s10955-011-0296-6","journal-title":"J Stat Phys"},{"issue":"20","key":"15130_CR2","doi-asserted-by":"publisher","first-page":"20799","DOI":"10.1007\/s11042-016-3964-3","volume":"76","author":"G Bhartiya","year":"2017","unstructured":"Bhartiya G, Jalal AS (2017) Forgery detection using feature-clustering in recompressed JPEG images. Multimed Tools Appl 76(20):20799\u201320814. https:\/\/doi.org\/10.1007\/s11042-016-3964-3","journal-title":"Multimed Tools Appl"},{"issue":"2","key":"15130_CR3","doi-asserted-by":"publisher","first-page":"842","DOI":"10.1109\/TIFS.2011.2170836","volume":"7","author":"T Bianchi","year":"2011","unstructured":"Bianchi T, Piva A (2011) Detection of nonaligned double JPEG compression based on integer periodicity maps. IEEE Trans Inf Forensics Secur 7(2):842\u2013848. https:\/\/doi.org\/10.1109\/TIFS.2011.2170836","journal-title":"IEEE Trans Inf Forensics Secur"},{"key":"15130_CR4","doi-asserted-by":"publisher","unstructured":"Bianchi T, De Rosa A, Piva A (2011, May) Improved DCT coefficient analysis for forgery localization in JPEG images. In 2011 IEEE international conference on acoustics, speech and signal processing (ICASSP) (pp 2444-2447). IEEE. https:\/\/doi.org\/10.1109\/ICASSP.2011.5946978","DOI":"10.1109\/ICASSP.2011.5946978"},{"issue":"3","key":"15130_CR5","doi-asserted-by":"publisher","first-page":"226","DOI":"10.1016\/j.diin.2013.04.007","volume":"10","author":"GK Birajdar","year":"2013","unstructured":"Birajdar GK, Mankar VH (2013) Digital image forgery detection using passive techniques: a survey. Digit Investig 10(3):226\u2013245. https:\/\/doi.org\/10.1016\/j.diin.2013.04.007","journal-title":"Digit Investig"},{"issue":"2","key":"15130_CR6","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1007\/BF00058655","volume":"24","author":"L Breiman","year":"1996","unstructured":"Breiman L (1996) Bagging predictors. Mach Learn 24(2):123\u2013140. https:\/\/doi.org\/10.1007\/BF00058655","journal-title":"Mach Learn"},{"issue":"2","key":"15130_CR7","doi-asserted-by":"publisher","first-page":"396","DOI":"10.1109\/TIFS.2011.2106121","volume":"6","author":"YL Chen","year":"2011","unstructured":"Chen YL, Hsu CT (2011) Detecting recompression of JPEG images via periodicity analysis of compression artifacts for tampering detection. IEEE Trans Inf Forensics Secur 6(2):396\u2013406. https:\/\/doi.org\/10.1109\/TIFS.2011.2106121","journal-title":"IEEE Trans Inf Forensics Secur"},{"key":"15130_CR8","doi-asserted-by":"publisher","unstructured":"Chouhan A, Nigam MJ (2016, July) Double compression of JPEG image using DCT with estimated quality factor. In 2016 IEEE 1st international conference on power electronics, intelligent control and energy systems (ICPEICES) (pp 1-3). IEEE. https:\/\/doi.org\/10.1109\/ICPEICES.2016.7853478","DOI":"10.1109\/ICPEICES.2016.7853478"},{"key":"15130_CR9","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1016\/j.image.2017.10.011","volume":"61","author":"N Dalmia","year":"2018","unstructured":"Dalmia N, Okade M (2018) Robust first quantization matrix estimation based on filtering of recompression artifacts for non-aligned double compressed JPEG images. Signal Process Image Commun 61:9\u201320. https:\/\/doi.org\/10.1016\/j.image.2017.10.011","journal-title":"Signal Process Image Commun"},{"key":"15130_CR10","doi-asserted-by":"publisher","unstructured":"Dang-Nguyen DT, Pasquini C, Conotter V, Boato G (2015, March) Raise: a raw images dataset for digital image forensics. In Proceedings of the 6th ACM multimedia systems conference (pp 219-224). https:\/\/doi.org\/10.1145\/2713168.2713194","DOI":"10.1145\/2713168.2713194"},{"issue":"2","key":"15130_CR11","doi-asserted-by":"publisher","first-page":"230","DOI":"10.1109\/TIP.2002.807361","volume":"12","author":"Z Fan","year":"2003","unstructured":"Fan Z, De Queiroz RL (2003) Identification of bitmap compression history: JPEG detection and quantizer estimation. IEEE Trans Image Process 12(2):230\u2013235. https:\/\/doi.org\/10.1109\/TIP.2002.807361","journal-title":"IEEE Trans Image Process"},{"issue":"2","key":"15130_CR12","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1109\/MSP.2008.931079","volume":"26","author":"H Farid","year":"2009","unstructured":"Farid H (2009) Image forgery detection. IEEE Signal Process Mag 26(2):16\u201325. https:\/\/doi.org\/10.1109\/MSP.2008.931079","journal-title":"IEEE Signal Process Mag"},{"issue":"1","key":"15130_CR13","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1109\/TIFS.2008.2012215","volume":"4","author":"H Farid","year":"2009","unstructured":"Farid H (2009) Exposing digital forgeries from JPEG ghosts. IEEE Trans Inf Forensics Secur 4(1):154\u2013160. https:\/\/doi.org\/10.1109\/TIFS.2008.2012215","journal-title":"IEEE Trans Inf Forensics Secur"},{"issue":"2","key":"15130_CR14","doi-asserted-by":"publisher","first-page":"690","DOI":"10.1016\/j.bbe.2021.03.004","volume":"41","author":"B Fatimah","year":"2021","unstructured":"Fatimah B, Singh P, Singhal A, Pachori RB (2021) Hand movement recognition from sEMG signals using Fourier decomposition method. Biocybern Biomed Eng 41(2):690\u2013703. https:\/\/doi.org\/10.1016\/j.bbe.2021.03.004","journal-title":"Biocybern Biomed Eng"},{"key":"15130_CR15","doi-asserted-by":"publisher","unstructured":"Feng X, Do\u00ebrr G (2010, January) JPEG recompression detection. In Media forensics and security II, vol. 7541 pp 75410J. International Society for Optics and Photonics. https:\/\/doi.org\/10.1117\/12.838888","DOI":"10.1117\/12.838888"},{"key":"15130_CR16","unstructured":"Fraclab (n.d.) https:\/\/project.inria.fr\/fraclab\/, last accessed (30.08.2021.)"},{"key":"15130_CR17","doi-asserted-by":"publisher","unstructured":"Fu D, Shi YQ, Su W (2007) A generalized Benford\u2019s law for JPEG coefficients and its applications in image forensics. In Security, steganography, and watermarking of multimedia contents IX vol. 6505 pp 65051L. International society for optics and photonics. https:\/\/doi.org\/10.1117\/12.704723","DOI":"10.1117\/12.704723"},{"key":"15130_CR18","doi-asserted-by":"publisher","unstructured":"Galvan F, Puglisi G, Bruna AR, Battiato S (2013, September) First quantization coefficient extraction from double compressed JPEG images. In International conference on image analysis and processing (pp 783-792). Springer, Berlin, Heidelberg. https:\/\/doi.org\/10.1007\/978-3-642-41181-6_79","DOI":"10.1007\/978-3-642-41181-6_79"},{"key":"15130_CR19","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2013\/376152","volume":"2013","author":"A Gavrovska","year":"2013","unstructured":"Gavrovska A, Zajic G, Reljin I, Reljin B (2013) Classification of prolapsed mitral valve versus healthy heart from phonocardiograms by multifractal analysis. Comput Math Methods Med 2013:1\u201310. https:\/\/doi.org\/10.1155\/2013\/376152","journal-title":"Comput Math Methods Med"},{"issue":"1","key":"15130_CR20","doi-asserted-by":"publisher","first-page":"377","DOI":"10.1007\/s10586-017-0868-6","volume":"21","author":"Z Halim","year":"2018","unstructured":"Halim Z (2018) Optimizing the minimum spanning tree-based extracted clusters using evolution strategy. Clust Comput 21(1):377\u2013391. https:\/\/doi.org\/10.1007\/s10586-017-0868-6","journal-title":"Clust Comput"},{"key":"15130_CR21","doi-asserted-by":"publisher","unstructured":"He J, Lin Z, Wang L, Tang X (2006, May) Detecting doctored JPEG images via DCT coefficient analysis. In European conference on computer vision (pp 423-435). Springer, Berlin, Heidelberg. https:\/\/doi.org\/10.1007\/11744078_33","DOI":"10.1007\/11744078_33"},{"issue":"5","key":"15130_CR22","first-page":"512","volume":"3","author":"W Hou","year":"2013","unstructured":"Hou W, Ji Z, Jin X, Li X (2013) Double JPEG compression detection based on extended first digit features of DCT coefficients. Int J Inf Educ Technol 3(5):512","journal-title":"Int J Inf Educ Technol"},{"issue":"4","key":"15130_CR23","doi-asserted-by":"publisher","first-page":"848","DOI":"10.1109\/TIFS.2010.2072921","volume":"5","author":"F Huang","year":"2010","unstructured":"Huang F, Huang J, Shi YQ (2010) Detecting double JPEG compression with the same quantization matrix. IEEE Trans Inf Forensics Secur 5(4):848\u2013856. https:\/\/doi.org\/10.1109\/TIFS.2010.2072921","journal-title":"IEEE Trans Inf Forensics Secur"},{"issue":"4","key":"15130_CR24","doi-asserted-by":"publisher","first-page":"633","DOI":"10.1016\/j.humov.2013.01.008","volume":"32","author":"EA Ihlen","year":"2013","unstructured":"Ihlen EA, Vereijken B (2013) Multifractal formalisms of human behavior. Hum Mov Sci 32(4):633\u2013651. https:\/\/doi.org\/10.1016\/j.humov.2013.01.008","journal-title":"Hum Mov Sci"},{"key":"15130_CR25","unstructured":"JPEG Toolbox (n.d.) https:\/\/digitnet.github.io\/jpeg-toolbox\/, last accessed (15.07.2021)"},{"key":"15130_CR26","doi-asserted-by":"publisher","first-page":"102571","DOI":"10.1016\/j.bspc.2021.102571","volume":"67","author":"BK Karaca","year":"2021","unstructured":"Karaca BK, Ak\u015fahin MF, \u00d6cal R (2021) Detection of multiple sclerosis from photic stimulation EEG signals. Biomed Signal Process Control 67:102571. https:\/\/doi.org\/10.1016\/j.bspc.2021.102571","journal-title":"Biomed Signal Process Control"},{"key":"15130_CR27","doi-asserted-by":"publisher","unstructured":"Li B, Shi YQ, Huang J (2008, October) Detecting doubly compressed JPEG images by using mode based first digit features. In 2008 IEEE 10th workshop on multimedia signal processing (pp 730-735). IEEE. https:\/\/doi.org\/10.1109\/MMSP.2008.4665171","DOI":"10.1109\/MMSP.2008.4665171"},{"key":"15130_CR28","unstructured":"Li B, Luo H, Zhang H, Tan S, Ji Z (2017) A multi-branch convolutional neural network for detecting double JPEG compression. arXiv preprint arXiv:1710.05477"},{"issue":"11","key":"15130_CR29","doi-asserted-by":"publisher","first-page":"2492","DOI":"10.1016\/j.patcog.2009.03.019","volume":"42","author":"Z Lin","year":"2009","unstructured":"Lin Z, He J, Tang X, Tang CK (2009) Fast, automatic and fine-grained tampered JPEG image detection via DCT coefficient analysis. Pattern Recogn 42(11):2492\u20132501. https:\/\/doi.org\/10.1016\/j.patcog.2009.03.019","journal-title":"Pattern Recogn"},{"key":"15130_CR30","unstructured":"Luk\u00e1\u0161 J, Fridrich J (2003, August) Estimation of primary quantization matrix in double compressed JPEG images. In Proc. digital forensic research workshop (pp 5-8)"},{"issue":"3","key":"15130_CR31","doi-asserted-by":"publisher","first-page":"480","DOI":"10.1109\/TIFS.2010.2051426","volume":"5","author":"W Luo","year":"2010","unstructured":"Luo W, Huang J, Qiu G (2010) JPEG error analysis and its applications to digital image forensics. IEEE Trans Inf Forensics Secur 5(3):480\u2013491. https:\/\/doi.org\/10.1109\/TIFS.2010.2051426","journal-title":"IEEE Trans Inf Forensics Secur"},{"key":"15130_CR32","doi-asserted-by":"publisher","DOI":"10.1002\/esp.3290080415","volume-title":"The fractal geometry of nature","author":"BB Mandelbrot","year":"1982","unstructured":"Mandelbrot BB (1982) The fractal geometry of nature, vol 1. WH freeman, New York. https:\/\/doi.org\/10.1002\/esp.3290080415"},{"key":"15130_CR33","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1007\/978-981-13-6351-1_14","volume-title":"Data, engineering and applications","author":"KB Meena","year":"2019","unstructured":"Meena KB, Tyagi V (2019) Image forgery detection: survey and future directions. In: Data, engineering and applications. Springer, Singapore, pp 163\u2013194. https:\/\/doi.org\/10.1007\/978-981-13-6351-1_14"},{"key":"15130_CR34","doi-asserted-by":"publisher","first-page":"1025906","DOI":"10.1117\/12.48892","volume-title":"Standards for electronic imaging systems: a critical review","author":"JL Mitchell","year":"1991","unstructured":"Mitchell JL, Pennebaker WB (1991) Evolving JPEG color data compression standard. In: Standards for electronic imaging systems: a critical review, vol 10259. International Society for Optics and Photonics, p 1025906. https:\/\/doi.org\/10.1117\/12.48892"},{"key":"15130_CR35","doi-asserted-by":"publisher","unstructured":"Nawayi SH, Vijean V, Salleh AF, Planiappan R, Lim CC, Fook CY, Awang AS (2021, October) Non-invasive detection of Ketum users through objective analysis of EEG signals. J Phys Conf Ser 2071(1):012045). IOP publishing. https:\/\/doi.org\/10.1088\/1742-6596\/2071\/1\/012045","DOI":"10.1088\/1742-6596\/2071\/1\/012045"},{"key":"15130_CR36","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1016\/j.image.2019.04.016","volume":"76","author":"Y Niu","year":"2019","unstructured":"Niu Y, Li X, Zhao Y, Ni R (2019) An enhanced approach for detecting double JPEG compression with the same quantization matrix. Signal Process Image Commun 76:89\u201396. https:\/\/doi.org\/10.1016\/j.image.2019.04.016","journal-title":"Signal Process Image Commun"},{"key":"15130_CR37","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1109\/LSP.2019.2962997","volume":"27","author":"Y Niu","year":"2019","unstructured":"Niu Y, Tondi B, Zhao Y, Barni M (2019) Primary quantization matrix estimation of double compressed JPEG images via CNN. IEEE Signal Process Lett 27:191\u2013195. https:\/\/doi.org\/10.1109\/LSP.2019.2962997","journal-title":"IEEE Signal Process Lett"},{"key":"15130_CR38","unstructured":"NRCS Photo gallery, (n.d.) https:\/\/photogallery.sc.egov.usda.gov\/photogallery\/#\/, last accessed (15.07.2021.)"},{"key":"15130_CR39","doi-asserted-by":"publisher","unstructured":"Park J, Cho D, Ahn W, Lee HK (2018) Double JPEG detection in mixed JPEG quality factors using deep convolutional neural network. In Proceedings of the European conference on computer vision (ECCV) (pp 636-652). https:\/\/doi.org\/10.1007\/978-3-030-01228-1_39","DOI":"10.1007\/978-3-030-01228-1_39"},{"key":"15130_CR40","doi-asserted-by":"publisher","unstructured":"Pasquini C, Sch\u00f6ttle P, B\u00f6hme R, Boato G, Perez-Gonzalez F (2016, June) Forensics of high quality and nearly identical jpeg image recompression. In Proceedings of the 4th ACM workshop on information hiding and multimedia security (pp 11-21). https:\/\/doi.org\/10.1145\/2909827.2930787","DOI":"10.1145\/2909827.2930787"},{"issue":"15","key":"15130_CR41","doi-asserted-by":"publisher","first-page":"20655","DOI":"10.1007\/s11042-019-7277-1","volume":"78","author":"A Pavlovi\u0107","year":"2019","unstructured":"Pavlovi\u0107 A, Gli\u0161ovi\u0107 N, Gavrovska A, Reljin I (2019) Copy-move forgery detection based on multifractals. Multimed Tools Appl 78(15):20655\u201320678. https:\/\/doi.org\/10.1007\/s11042-019-7277-1","journal-title":"Multimed Tools Appl"},{"key":"15130_CR42","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1016\/j.aeue.2016.11.009","volume":"71","author":"F Peng","year":"2017","unstructured":"Peng F, Zhou DL, Long M, Sun XM (2017) Discrimination of natural images and computer generated graphics based on multi-fractal and regression analysis. AEU-Int J Electron Commun 71:72\u201381. https:\/\/doi.org\/10.1016\/j.aeue.2016.11.009","journal-title":"AEU-Int J Electron Commun"},{"key":"15130_CR43","doi-asserted-by":"publisher","unstructured":"Peyri\u00e8re J (1992) Multifractal measures. In Probabilistic and stochastic methods in analysis, with applications (pp 175\u2013186). Springer, Dordrecht. https:\/\/doi.org\/10.1007\/978-94-011-2791-2_7","DOI":"10.1007\/978-94-011-2791-2_7"},{"key":"15130_CR44","doi-asserted-by":"publisher","unstructured":"Schaefer G, Stich M (2004) UCID - An Uncompressed Colour Image Database, Proc. SPIE, Storage and Retrieval Methods and Applications for Multimedia 2004, pp 472\u2013480, San Jose, USA. https:\/\/doi.org\/10.1117\/12.525375","DOI":"10.1117\/12.525375"},{"issue":"6","key":"15130_CR45","doi-asserted-by":"publisher","first-page":"759","DOI":"10.3390\/e23060759","volume":"23","author":"M Shutaywi","year":"2021","unstructured":"Shutaywi M, Kachouie NN (2021) Silhouette analysis for performance evaluation in machine learning with applications to clustering. Entropy 23(6):759. https:\/\/doi.org\/10.3390\/e23060759","journal-title":"Entropy"},{"key":"15130_CR46","doi-asserted-by":"publisher","unstructured":"Stamm MC, Tjoa SK, Lin WS, Liu KR (2010, March) Anti-forensics of JPEG compression. In 2010 IEEE International Conference on Acoustics, Speech and Signal Processing (pp 1694-1697). IEEE. https:\/\/doi.org\/10.1109\/ICASSP.2010.5495491","DOI":"10.1109\/ICASSP.2010.5495491"},{"issue":"1","key":"15130_CR47","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s13635-021-00119-0","volume":"2021","author":"B Tondi","year":"2021","unstructured":"Tondi B, Costanzo A, Huang D, Li B (2021) Boosting CNN-based primary quantization matrix estimation of double JPEG images via a classification-like architecture. EURASIP J Inf Secur 2021(1):1\u201314. https:\/\/doi.org\/10.1186\/s13635-021-00119-0","journal-title":"EURASIP J Inf Secur"},{"issue":"2","key":"15130_CR48","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1109\/TIFS.2012.2234117","volume":"8","author":"G Valenzise","year":"2012","unstructured":"Valenzise G, Tagliasacchi M, Tubaro S (2012) Revealing the traces of JPEG compression anti-forensics. IEEE Trans Inf Forensics Secur 8(2):335\u2013349. https:\/\/doi.org\/10.1109\/TIFS.2012.2234117","journal-title":"IEEE Trans Inf Forensics Secur"},{"issue":"4","key":"15130_CR49","doi-asserted-by":"publisher","first-page":"1309","DOI":"10.1109\/TNET.2012.2229469","volume":"21","author":"JL V\u00e9hel","year":"2012","unstructured":"V\u00e9hel JL, Rams M (2012) Large deviation multifractal analysis of a class of additive processes with correlated nonstationary increments. IEEE\/ACM Trans Networking 21(4):1309\u20131321","journal-title":"IEEE\/ACM Trans Networking"},{"key":"15130_CR50","doi-asserted-by":"crossref","unstructured":"V\u00e9hel JL, Tricot C (2004) On various multifractal spectra. In Fractal geometry and stochastics III (pp 23\u201342). Birkh\u00e4user, Basel","DOI":"10.1007\/978-3-0348-7891-3_2"},{"issue":"1","key":"15130_CR51","doi-asserted-by":"publisher","first-page":"xviii","DOI":"10.1109\/30.125072","volume":"38","author":"GK Wallace","year":"1992","unstructured":"Wallace GK (1992) The JPEG still picture compression standard. IEEE Trans Consum Electron 38(1):xviii\u2013xxxiv. https:\/\/doi.org\/10.1109\/30.125072","journal-title":"IEEE Trans Consum Electron"},{"key":"15130_CR52","doi-asserted-by":"publisher","unstructured":"Wang Q, Zhang R (2016) Double JPEG compression forensics based on a convolutional neural network. EURASIP J Inf Secur 2016:23. https:\/\/doi.org\/10.1186\/s13635-016-0047-y","DOI":"10.1186\/s13635-016-0047-y"},{"key":"15130_CR53","doi-asserted-by":"publisher","unstructured":"Wang X, Zhang D, Guo X (2013) Novel hybrid fractal image encoding algorithm using standard deviation and DCT coefficients. Nonlinear Dyn 73(1-2):347\u2013355. https:\/\/doi.org\/10.1007\/s11071-013-0790-2","DOI":"10.1007\/s11071-013-0790-2"},{"key":"15130_CR54","doi-asserted-by":"publisher","first-page":"623","DOI":"10.1016\/j.egypro.2012.02.145","volume":"17","author":"W Wei","year":"2012","unstructured":"Wei W, Rang-ding WANG (2012) The analysis and detection of double JPEG2000 compression based on statistical characterization of DWT coefficients. Energy Procedia 17:623\u2013629. https:\/\/doi.org\/10.1016\/j.egypro.2012.02.145","journal-title":"Energy Procedia"},{"key":"15130_CR55","doi-asserted-by":"publisher","first-page":"295","DOI":"10.4018\/978-1-4666-5888-2.ch028","volume-title":"Encyclopedia of information science and technology","author":"Y Wiseman","year":"2015","unstructured":"Wiseman Y (2015) The still image lossy compression standard-JPEG. In: Encyclopedia of information science and technology, 3rd edn. IGI global, pp 295\u2013305. https:\/\/doi.org\/10.4018\/978-1-4666-5888-2.ch028","edition":"3"},{"key":"15130_CR56","doi-asserted-by":"publisher","unstructured":"Yang J, Zhu G, Wang J, Shi YQ (2013, October) Detecting non-aligned double JPEG compression based on refined intensity difference and calibration. In International Workshop on Digital Watermarking (pp 169-179). Springer, Berlin, Heidelberg. https:\/\/doi.org\/10.1145\/3464388","DOI":"10.1145\/3464388"},{"issue":"11","key":"15130_CR57","doi-asserted-by":"publisher","first-page":"1933","DOI":"10.1109\/TIFS.2014.2359368","volume":"9","author":"J Yang","year":"2014","unstructured":"Yang J, Xie J, Zhu G, Kwong S, Shi YQ (2014) An effective method for detecting double JPEG compression with the same quantization matrix. IEEE Trans Inf Forensics Secur 9(11):1933\u20131942. https:\/\/doi.org\/10.1109\/TIFS.2014.2359368","journal-title":"IEEE Trans Inf Forensics Secur"},{"key":"15130_CR58","doi-asserted-by":"publisher","first-page":"107430","DOI":"10.1016\/j.sigpro.2019.107430","volume":"170","author":"H Yao","year":"2020","unstructured":"Yao H, Wei H, Qin C, Zhang X (2020) An improved first quantization matrix estimation for nonaligned double compressed JPEG images. Signal Process 170:107430. https:\/\/doi.org\/10.1016\/j.sigpro.2019.107430","journal-title":"Signal Process"},{"key":"15130_CR59","doi-asserted-by":"publisher","first-page":"102795","DOI":"10.1016\/j.jvcir.2020.102795","volume":"69","author":"H Yao","year":"2020","unstructured":"Yao H, Wei H, Qiao T, Qin C (2020) JPEG quantization step estimation with coefficient histogram and spectrum analyses. J Vis Commun Image Represent 69:102795. https:\/\/doi.org\/10.1016\/j.jvcir.2020.102795","journal-title":"J Vis Commun Image Represent"},{"key":"15130_CR60","doi-asserted-by":"publisher","unstructured":"Ye S, Sun Q, Chang EC (2007, July) Detecting digital image forgeries by measuring inconsistencies of blocking artifact. In 2007 IEEE international conference on multimedia and expo (pp 12-15). IEEE. https:\/\/doi.org\/10.1109\/ICME.2007.4284574","DOI":"10.1109\/ICME.2007.4284574"},{"issue":"3","key":"15130_CR61","doi-asserted-by":"publisher","DOI":"10.1117\/1.JEI.28.3.033011","volume":"28","author":"H Yuan","year":"2019","unstructured":"Yuan H, Ou B, Tian H (2019) Detecting double compression for JPEG images of low quality factor. J Electron Imaging 28(3):033011. https:\/\/doi.org\/10.1117\/1.JEI.28.3.033011","journal-title":"J Electron Imaging"},{"key":"15130_CR62","doi-asserted-by":"publisher","unstructured":"Zach F, Riess C, Angelopoulou E (2012, August) Automated image forgery detection through classification of JPEG ghosts. In Joint DAGM (German Association for Pattern Recognition) and OAGM symposium (pp 185-194). Springer, Berlin, Heidelberg. https:\/\/doi.org\/10.1007\/978-3-642-32717-9_19","DOI":"10.1007\/978-3-642-32717-9_19"},{"key":"15130_CR63","doi-asserted-by":"publisher","first-page":"164196","DOI":"10.1016\/j.ijleo.2020.164196","volume":"204","author":"Y Zhang","year":"2020","unstructured":"Zhang Y, Song W, Wu F, Han H, Zhang L (2020) Revealing the traces of nonaligned double JPEG compression in digital images. Optik 204:164196. https:\/\/doi.org\/10.1016\/j.ijleo.2020.164196","journal-title":"Optik"},{"issue":"9","key":"15130_CR64","doi-asserted-by":"publisher","first-page":"1119","DOI":"10.3390\/sym11091119","volume":"11","author":"N Zhu","year":"2019","unstructured":"Zhu N, Shen J, Niu X (2019) Double JPEG compression detection based on noise-free DCT coefficients mixture histogram model. Symmetry 11(9):1119. https:\/\/doi.org\/10.3390\/sym11091119","journal-title":"Symmetry"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-15130-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-023-15130-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-15130-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,20]],"date-time":"2023-09-20T10:20:39Z","timestamp":1695205239000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-023-15130-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3,17]]},"references-count":64,"journal-issue":{"issue":"23","published-print":{"date-parts":[[2023,9]]}},"alternative-id":["15130"],"URL":"https:\/\/doi.org\/10.1007\/s11042-023-15130-5","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,3,17]]},"assertion":[{"value":"29 January 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 November 2022","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 March 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 March 2023","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The author has no conflict of interest to declare.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interests"}}]}}