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Soft Computing

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15.04.2023 | Application of soft computing

High-performance image forgery detection via adaptive SIFT feature extraction for low-contrast or small or smooth copy–move region images

verfasst von: J. S. Sujin, S. Sophia

Erschienen in: Soft Computing | Ausgabe 1/2024

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Abstract

Due to their robustness against large-scale geometric transformations, keypoint-based detection methods play an important role in revealing copy–move evidence. However, where copy–move forgeries are only involved in low-contrast or small or smooth regions, these approaches do not yield high-performance results because the number of keypoints in these regions is very limited. We recommend a highly efficient copy–move forgery detection algorithm by ADaptive Scale-Invariant Feature Transform (ADSIFT). Initially, by adapting the gamma factor for contrast threshold and rescaling factor values for feature matching and forgery detection, we produce an adequate number of keypoints that occur even in low-contrast or small or smooth regions of noisy or noiseless images. The proposed approach delivers greater performance than the existing methods as compared to precision and efficiency.

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Amerini I, Ballan L, Caldelli R, Del Bimbo A, Serra G (2011) A sift-based forensic method for copy–move attack detection and transformation recovery. IEEE Trans Inf Forensics Secur 6(3):1099–1110CrossRef

Amerini I, Ballan L, Caldelli R, Del Bimbo A, Del Tongo L, Serra G (2013) Copy-move forgery detection and localization by means of robust clustering with J-Linkage. Signal Process Image Commun 28(6):659–669CrossRef

Barnes C, Shechtman E, Finkelstein A, Goldman DB (2009) PatchMatch: a randomized correspondence algorithm for structural image editing. ACM Trans Graph 28(3):24CrossRef

Bayram S, Sencar HT, Memon N (2009) An efficient and robust method for detecting copy-move forgery. In: 2009 IEEE international conference on acoustics, speech and signal processing, pp 1053–1056. IEEE

Bi X, Pun CM (2017) Fast reflective offset-guided searching method for copy-move forgery detection. Inf Sci 418:531–545CrossRef

Birinci M, Diaz-de-Maria F, Abdollahian G, Delp EJ, Gabbouj M (2011) Neighborhood matching for object recognition algorithms based on local image features. In: 2011 digital signal processing and signal processing education meeting (DSP/SPE), pp 157–162. IEEE

Bravo-Solorio S, Nandi AK (2011) Exposing duplicated regions affected by reflection, rotation and scaling. In: 2011 IEEE international conference on acoustics, speech and signal processing (ICASSP), pp 1880–1883. IEEE

Christlein V, Riess C, Jordan J, Riess C, Angelopoulou E (2012) An evaluation of popular copy-move forgery detection approaches. IEEE Trans Inf Forensics Secur 7(6):1841–1854CrossRef

Cozzolino D, Poggi G, Verdoliva L (2015) Efficient dense-field copy–move forgery detection. IEEE Trans Inf Forensics Secur 10(11):2284–2297CrossRef

Cozzolino D, Poggi G, Verdoliva L (2014) Copy-move forgery detection based on patchmatch. In: 2014 IEEE international conference on image processing (ICIP), pp 5312–5316. IEEE

Fischler MA, Bolles RC (1981) Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Commun ACM 24(6):381–395MathSciNetCrossRef

Fridrich AJ, Soukal BD, Lukáš AJ (2003) Detection of copy-move forgery in digital images. In: Proceedings of digital forensic research workshop

Friedman J, Hastie T, Tibshirani R (2001) The elements of statistical learning, vol 1, no 10. Springer series in statistics, New York

Guo JM, Liu YF, Wu ZJ (2013) Duplication forgery detection using improved DAISY descriptor. Expert Syst Appl 40(2):707–714CrossRef

Kakar P, Sudha N (2012) Exposing postprocessed copy–paste forgeries through transform-invariant features. IEEE Trans Inf Forensics Secur 7(3):1018–1028CrossRef

Kim D, Rho S, Hwang E (2012) Local feature-based multi-object recognition scheme for surveillance. Eng Appl Artif Intell 25(7):1373–1380CrossRef

Li Y, Zhou J (2018) Fast and effective image copy-move forgery detection via hierarchical feature point matching. IEEE Trans Inf Forensics Secur 14(5):1307–1322CrossRef

Li J, Li X, Yang B, Sun X (2014) Segmentation-based image copy-move forgery detection scheme. IEEE Trans Inf Forensics Secur 10(3):507–518

Li Y, Zhou J, Cheng A, Liu X, Tang YY (2016) SIFT keypoint removal and injection via convex relaxation. IEEE Trans Inf Forensics Secur 11(8):1722–1735CrossRef

Li Y, Zhou J, Cheng A (2017) SIFT keypoint removal via directed graph construction for color images. IEEE Trans Inf Forensics Secur 12(12):2971–2985CrossRef

Li Y, Zhou J (2016) Image copy-move forgery detection using hierarchical feature point matching. In: 2016 Asia-pacific signal and information processing association annual summit and conference (APSIPA), pp 1–4. IEEE

Lowe DG (2004) Distinctive image features from scale-invariant keypoints. Int J Comput Vision 60(2):91–110CrossRef

Mian A, Bennamoun M, Owens R (2010) On the repeatability and quality of keypoints for local feature-based 3d object retrieval from cluttered scenes. Int J Comput Vision 89(2):348–361CrossRef

Mikolajczyk K, Schmid C (2005) A performance evaluation of local descriptors. IEEE Trans Pattern Anal Mach Intell 27(10):1615–1630CrossRef

Mikulka J, Gescheidtova E, Bartusek K (2012) Soft-tissues image processing: comparison of traditional segmentation methods with 2D active contour methods. Meas Science Review 12(4):153–161CrossRef

Muhammad G, Hussain M, Bebis G (2012) Passive copy move image forgery detection using undecimated dyadic wavelet transform. Digit Investig 9(1):49–57CrossRef

Ouyang W, Tombari F, Mattoccia S, Di Stefano L, Cham WK (2011) Performance evaluation of full search equivalent pattern matching algorithms. IEEE Trans Pattern Anal Mach Intell 34(1):127–143CrossRef

Pan X, Lyu S (2010) Region duplication detection using image feature matching. IEEE Trans Inf Forensics Secur 5(4):857–867CrossRef

Popescu AC, Farid H (2004) Exposing digital forgeries by detecting duplicated image regions

Qin Z, Yan J, Ren K, Chen CW, Wang C (2014) Towards efficient privacy-preserving image feature extraction in cloud computing. In: Proceedings of the 22nd ACM international conference on Multimedia, pp 497–506

Ryu SJ, Kirchner M, Lee MJ, Lee HK (2013) Rotation invariant localization of duplicated image regions based on Zernike moments. IEEE Trans Inf Forensics Secur 8(8):1355–1370CrossRef

Shivakumar BL, Baboo SS (2011) Detection of region duplication forgery in digital images using SURF. Int J Comput Sci Issues (IJCSI) 8(4):199

Silva E, Carvalho T, Ferreira A, Rocha A (2015) Going deeper into copy-move forgery detection: exploring image telltales via multi-scale analysis and voting processes. J vis Commun Image Represent 29:16–32CrossRef

Vedaldi A, Fulkerson B (2010) VLFeat: An open and portable library of computer vision algorithms. In: Proceedings of the 18th ACM international conference on multimedia, pp 1469–1472

Zandi M, Mahmoudi-Aznaveh A, Talebpour A (2016) Iterative copy-move forgery detection based on a new interest point detector. IEEE Trans Inf Forensics Secur 11(11):2499–2512CrossRef

Zhao J, Zhao W (2013) Passive forensics for region duplication image forgery based on harris feature points and local binary patterns. Math Prob Eng 2013

Zhao J, Guo J (2013) Passive forensics for copy-move image forgery using a method based on DCT and SVD. Forensic Sci Int 233(1–3):158–166CrossRef

Titel: High-performance image forgery detection via adaptive SIFT feature extraction for low-contrast or small or smooth copy–move region images
verfasst von: J. S. Sujin
S. Sophia
Publikationsdatum: 15.04.2023
Verlag: Springer Berlin Heidelberg
Erschienen in: Soft Computing / Ausgabe 1/2024
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI: https://doi.org/10.1007/s00500-023-08209-6

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