Removing the Traces of Median Filtering via Unsharp Masking as an Anti-forensic Approach in Medical Imaging
Author:
Affiliation:
1. Shri Venkateshwara University, Uttar Pradesh,Rajabpur Gajraula, India.
2. School of Electrical, Electronics & Communication Engineering, Galgotias University,Greater Noida, India.
Abstract
Publisher
Oriental Scientific Publishing Company
Subject
Pharmacology
Reference18 articles.
1. C. Stamm and K. J. R. Liu, “Anti-forensics of digital image compression,” in IEEE Transactions on Information Forensics and Security, vol. 6, no. 3, pp. 1050-1065, Sept. 2011.
2. Fan, K. Wang, F. Cayre and Z. Xiong, “JPEG Anti-Forensics With Improved Trade-off Between Forensic Undetectability and Image Quality,” in IEEE Transactions on Information Forensics and Security, vol. 9, no. 8, pp. 1211-1226, Aug. 2014.
3. Mehrish, A. V. Subramanyam and S. Emmanuel, “Joint Spatial and Discrete Cosine Transform Domain-Based Counter Forensics for Adaptive Contrast Enhancement,” in IEEE Access, vol. 7, pp. 27183-27195, 2019.
4. Ravi, A. V. Subramanyam and S. Emmanuel, “ACE–An Effective Anti-forensic Contrast Enhancement Technique,” in IEEE Signal Processing Letters, vol. 23, no. 2, pp. 212-216, Feb. 2016.
5. Pasquini, G. Boato, N. Alajlan and F. G. B. De Natale, “A Deterministic Approach to Detect Median Filtering in 1D Data,” in IEEE Transactions on Information Forensics and Security, vol. 11, no. 7, pp. 1425-1437, July 2016.
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