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An improved anti-forensic technique for JPEG compression., , и . Multim. Tools Appl., 78 (18): 25427-25453 (2019)A passive approach for the detection of splicing forgery in digital images., , и . Multim. Tools Appl., 79 (43-44): 32037-32063 (2020)No reference image quality assessment using blocked-based and frequency domain statistical features: a machine learning approach., , и . Int. J. Commun. Networks Distributed Syst., 12 (1): 95-112 (2014)Improved homomorphic filtering using fractional derivatives for enhancement of low contrast and non-uniformly illuminated images., , и . Multim. Tools Appl., 78 (19): 27891-27914 (2019)A Markov based image forgery detection approach by analyzing CFA artifacts., , и . Multim. Tools Appl., 77 (21): 28949-28968 (2018)Anti-forensic approach for JPEG compressed images with enhanced image quality and forensic undetectability., , и . Multim. Tools Appl., 79 (11-12): 8061-8084 (2020)An improved approach for single and multiple copy-move forgery detection and localization in digital images., , и . Multim. Tools Appl., 81 (27): 38817-38847 (ноября 2022)Riesz fractional order derivative in Fractional Fourier Transform domain: An insight., , и . Digit. Signal Process., (2019)Generalized referenceless image quality assessment framework using texture energy measures and pattern strength features., , и . Turkish J. Electr. Eng. Comput. Sci., (2017)A deep learning framework for copy-move forgery detection in digital images., , и . Multim. Tools Appl., 82 (12): 17741-17768 (мая 2023)