{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T15:50:52Z","timestamp":1778860252477,"version":"3.51.4"},"reference-count":50,"publisher":"SAGE Publications","issue":"6","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IFS"],"published-print":{"date-parts":[[2021,6,21]]},"abstract":"<jats:p>\u2018With the help of powerful image editing software, various image modifications are possible which are known as image forgeries. Copy-move is the easiest way of image manipulation, wherein an area of the image is copied and replicated in the same image. The major reason for performing this forgery is to conceal undesirable contents of the image. Thus, means are required to unveil the presence of duplicated areas in an image. In this article, an effective and efficient approach for copy-move forgery detection (CMFD) is proposed, which is based on stationary wavelet transform (SWT), speeded-up robust features (SURF), and a novel scaled density-based spatial clustering of applications with noise (sDBSCAN) clustering. The SWT allows the SURF descriptor to extract only energy-rich features from the input image. The SURF features can detect the tampered regions even under post-processing attacks like contrast adjustment, scaling, and affine transformation on the images. On the extracted features, a novel scaled density-based spatial clustering of applications with noise (sDBSCAN) clustering algorithm is applied to detect forged regions with high accuracy as it can easily identify the clusters of arbitrary shapes and sizes and can filter the outliers. For performance evaluation, three publicly available datasets namely MICC-F220, MICC-F2000, and image manipulation dataset (IMD) are employed. The qualitative and quantitative analysis demonstrates that the proposed approach outperforms state-of-the-art CMFD approaches in the presence of different post-processing attacks.<\/jats:p>","DOI":"10.3233\/jifs-191700","type":"journal-article","created":{"date-parts":[[2021,6,22]],"date-time":"2021-06-22T13:53:54Z","timestamp":1624370034000},"page":"10351-10371","source":"Crossref","is-referenced-by-count":16,"title":["Single and multiple regions duplication detections in digital images with applications in image forensic"],"prefix":"10.1177","volume":"40","author":[{"given":"Marriam","family":"Nawaz","sequence":"first","affiliation":[{"name":"Department of Computer Science, University of Engineering and Technology, Taxila, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zahid","family":"Mehmood","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering, University of Engineering and Technology, Taxila, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muhammad","family":"Bilal","sequence":"additional","affiliation":[{"name":"Department of Software Engineering, University of Engineering and Technology, Taxila, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Asmaa Mahdi","family":"Munshi","sequence":"additional","affiliation":[{"name":"College of Computer Science and Engineering, University of Jeddah, Jeddah, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muhammad","family":"Rashid","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering, Umm Al-Qura University, Makkah, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rehan Mehmood","family":"Yousaf","sequence":"additional","affiliation":[{"name":"Department of Software Engineering, University of Engineering and Technology, Taxila, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amjad","family":"Rehman","sequence":"additional","affiliation":[{"name":"Artificial Intelligence & Data Analytics (AIDA) Lab, CCIS, Prince Sultan University, Riyadh, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tanzila","family":"Saba","sequence":"additional","affiliation":[{"name":"Artificial Intelligence & Data Analytics (AIDA) Lab, CCIS, Prince Sultan University, Riyadh, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","reference":[{"issue":"1","key":"10.3233\/JIFS-191700_ref1","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1109\/MSP.2013.2273004","article-title":"Image inpainting: Overview and recent advances","volume":"31","author":"Guillemot","year":"2013","journal-title":"IEEE signal processing magazine"},{"key":"10.3233\/JIFS-191700_ref2","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1016\/j.isprsjprs.2018.12.013","article-title":"Cloud removal in remote sensing images using nonnegative matrix factorization and error correction","volume":"148","author":"Li","year":"2019","journal-title":"ISPRS journal of photogrammetry and remote sensing"},{"key":"10.3233\/JIFS-191700_ref3","doi-asserted-by":"crossref","unstructured":"Gill N.K. , Garg R. , Doegar E.A. , A review paper on digital image forgery detection techniques, in Computing, Communication and Networking Technologies (ICCCNT), 2017 8th International Conference on. 2017. 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CVPR 2005, IEEE Computer Society Conference on. 2005. IEEE."},{"issue":"7","key":"10.3233\/JIFS-191700_ref24","doi-asserted-by":"crossref","first-page":"62","DOI":"10.3390\/sym8070062","article-title":"Image Region Duplication Forgery Detection Based on Angular Radial Partitioning and Harris Key-Points","volume":"8","author":"Uliyan","year":"2016","journal-title":"Symmetry"},{"issue":"6","key":"10.3233\/JIFS-191700_ref25","doi-asserted-by":"crossref","first-page":"3221","DOI":"10.1007\/s11042-014-2431-2","article-title":"Copy-move forgery detection based on scaled ORB","volume":"75","author":"Zhu","year":"2016","journal-title":"Multimedia Tools and Applications"},{"issue":"1","key":"10.3233\/JIFS-191700_ref26","doi-asserted-by":"crossref","first-page":"1509","DOI":"10.1007\/s11042-015-3152-x","article-title":"Robustness of copy-move forgery detection under high JPEG compression artifacts","volume":"76","author":"Huang","year":"2017","journal-title":"Multimedia Tools and Applications"},{"issue":"20","key":"10.3233\/JIFS-191700_ref27","doi-asserted-by":"crossref","first-page":"20483","DOI":"10.1007\/s11042-016-3967-0","article-title":"Keypoint-based copy-move detection scheme by adopting MSCRs and improved feature matching","volume":"76","author":"Li","year":"2017","journal-title":"Multimedia Tools and Applications"},{"key":"10.3233\/JIFS-191700_ref28","first-page":"86","article-title":"Block Sampled Matching with Region Growing for Detecting Copy-Move Forgery Duplicated Regions","author":"Chen","year":"2017","journal-title":"Journal of Information Hiding and Multimedia Signal Processing"},{"key":"10.3233\/JIFS-191700_ref29","doi-asserted-by":"crossref","unstructured":"Muzaffer G. , Ulutas G. , A fast and effective digital image copy move forgery detection with binarized SIFT, in Telecommunications and Signal Processing (TSP), 2017 40th International Conference on. 2017. 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IEEE.","DOI":"10.1109\/ICME.2007.4285009"},{"key":"10.3233\/JIFS-191700_ref33","doi-asserted-by":"crossref","first-page":"448","DOI":"10.1016\/j.compeleceng.2017.03.013","article-title":"Forgery detection in digital images via discrete wavelet and discrete cosine transforms","volume":"62","author":"Hayat","year":"2017","journal-title":"Computers & Electrical Engineering"},{"key":"10.3233\/JIFS-191700_ref34","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1007\/978-1-4612-2544-7_17","article-title":"The stationary wavelet transform and some statistical applications","author":"Nason","year":"1995","journal-title":"Wavelets and statistics"},{"key":"10.3233\/JIFS-191700_ref35","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.sigpro.2015.10.027","article-title":"Multi-scale image hashing using adaptive local feature extraction for robust tampering detection","volume":"121","author":"Yan","year":"2016","journal-title":"Signal Processing"},{"key":"10.3233\/JIFS-191700_ref36","doi-asserted-by":"crossref","unstructured":"Bay H. , Tuytelaars T. , Van Gool L. , Surf: Speeded up robust features, in European conference on computer vision, 2006. Springer.","DOI":"10.1007\/11744023_32"},{"key":"10.3233\/JIFS-191700_ref37","doi-asserted-by":"crossref","unstructured":"Jin G. , Wan X. , An improved method for SIFT-based copy-move forgery detection using non-maximum value suppression and optimized J-Linkage, Signal Processing: Image Communication 2017.","DOI":"10.1016\/j.image.2017.05.010"},{"key":"10.3233\/JIFS-191700_ref38","unstructured":"Ester M. , et al., A density-based algorithm for discovering clusters in large spatial databases with noise, in Kdd, 1996."},{"key":"10.3233\/JIFS-191700_ref39","unstructured":"Backlund H. , Hedblom A. , Neijman N. , DBSCAN: A Density-Based Spatial Clustering of Application with Noise. Linkoping University\u2013ITN, Rep. TNM033, 2011."},{"issue":"3","key":"10.3233\/JIFS-191700_ref40","first-page":"23","article-title":"An Improved SIFT-PCA-Based Copy-Move Image Forgery Detection Method","volume":"6","author":"Mursi","year":"2017","journal-title":"International Journal of Advanced Research in Computer Science and Electronics Engineering (IJARCSEE)"},{"key":"10.3233\/JIFS-191700_ref41","first-page":"726","article-title":"Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography","author":"Fischler","year":"1987","journal-title":"Readings in computer vision"},{"issue":"3","key":"10.3233\/JIFS-191700_ref42","doi-asserted-by":"crossref","first-page":"1099","DOI":"10.1109\/TIFS.2011.2129512","article-title":"A sift-based forensic method for copy\u2013move attack detection and transformation recovery","volume":"6","author":"Amerini","year":"2011","journal-title":"IEEE Transactions on Information Forensics and Security"},{"key":"10.3233\/JIFS-191700_ref43","unstructured":"Tralic D. , et al., CoMoFoD\u2014New database for copy-move forgery detection, in Proceedings ELMAR-2013, 2013. IEEE."},{"key":"10.3233\/JIFS-191700_ref44","doi-asserted-by":"crossref","unstructured":"Dang-Nguyen D.-T. , et al., RAISE: a raw images dataset for digital image forensics, in Proceedings of the 6th ACM Multimedia Systems Conference, 2015.","DOI":"10.1145\/2713168.2713194"},{"issue":"6","key":"10.3233\/JIFS-191700_ref45","doi-asserted-by":"crossref","first-page":"1841","DOI":"10.1109\/TIFS.2012.2218597","article-title":"An evaluation of popular copy-move forgery detection approaches","volume":"7","author":"Christlein","year":"2012","journal-title":"IEEE Transactions on Information Forensics and Security"},{"key":"10.3233\/JIFS-191700_ref46","unstructured":"Popescu A. , Farid H. , Exposing digital forgeries by detecting duplicated image regions, Department Computer Science, Dartmouth College, Technology Report TR2004-515, 2004."},{"key":"10.3233\/JIFS-191700_ref47","unstructured":"Fridrich A.J. , Soukal B.D. , Luk\u00e1\u0161 A.J. , Detection of copy-move forgery in digital images, in in Proceedings of Digital Forensic Research Workshop, 2003, Citeseer."},{"key":"10.3233\/JIFS-191700_ref48","doi-asserted-by":"crossref","unstructured":"Soni B. , et al., Geometric transformation invariant block based copy-move forgery detection using fast and efficient hybrid local features, 45 (2019), 44\u201351.","DOI":"10.1016\/j.jisa.2019.01.007"},{"key":"10.3233\/JIFS-191700_ref49","doi-asserted-by":"crossref","unstructured":"Abdel-Basset M. , et al., 2-Levels of clustering strategy to detect and locate copy-move forgery in digital images, (2018), p. 1\u201319.","DOI":"10.1007\/s11042-018-6266-0"},{"key":"10.3233\/JIFS-191700_ref50","doi-asserted-by":"crossref","unstructured":"Manu V. , Mehtre B.M.J.S. , Image and V. 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