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Improving digital image watermarking by means of optimal channel selection., , , , and . Expert Syst. Appl., (2016)Light-Weight Deep Convolutional Network-Based Approach for Recognizing Emotion on FPGA Platform., , and . FDSE, volume 11814 of Lecture Notes in Computer Science, page 287-306. Springer, (2019)An efficient model for copy-move image forgery detection., , and . Int. J. Web Inf. Syst., 18 (2/3): 181-195 (2022)User-Pairing Scheme in NOMA Systems: A PSO-Based Approach., , , , and . INISCOM, volume 293 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 18-25. Springer, (2019)Combined Zernike Moment and Multiscale Analysis for Tamper Detection in Digital Images., , , , , and . Informatica (Slovenia), (2017)A novel watermarking scheme for image authentication in social networks., , , , and . IMCOM, page 48:1-48:8. ACM, (2015)Convolutional Network With Twofold Feature Augmentation for Diabetic Retinopathy Recognition From Multi-Modal Images., , , , , , , and . IEEE J. Biomed. Health Informatics, 25 (7): 2686-2697 (2021)FPGA Platform applied for Facial Expression Recognition System using Convolutional Neural Networks., , and . ANT/EDI40, volume 151 of Procedia Computer Science, page 651-658. Elsevier, (2019)Curvelet transform based Super-Resolution image processing., , , and . ISSPIT, page 170-175. IEEE Computer Society, (2012)A survey on Image Forgery Detection techniques., , , and . RIVF, page 71-76. IEEE, (2015)