Detection of alterations in watermarked medical images using Fast Fourier Transform and Complex-Valued Neural Network

Olanrewaju, Rashidah Funke; Khalifa, Othman O.; Abdulla, Aisha; Khedher, Akram M. Zeki.

doi:10.1109/icom.2011.5937131

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2024

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Cited by 2 publications

(2 citation statements)

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“…Olanrewaju et al [12] suggested a medical watermarking technique using Fast Fourier Transform and Complex Valued Neural Network (FFT-CVNN). The purpose of this technique is more focused on detecting tampered zones and falsification.…”

Section: Roy and Palmentioning

confidence: 99%

Hough Transform-Based Robust Informed Watermarking Approach for Medical Images

Laouamer,

Alswaili

2024

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Section: Roy and Palmentioning

confidence: 99%

Hough Transform-Based Robust Informed Watermarking Approach for Medical Images

Laouamer,

Alswaili

2024

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“…Radio Frequency Signal Processing in Wireless Communications [6], [8], [11], [32], [33], [35], [36], [52], [53], [55], [56], [65]- [67], [72], [89], [91], [109], [123]- [128], [133], [149]- [152], [154], [155] Image Processing and Computer Vision [19], [31], [34], [37], [39], [40], [54], [62], [69], [73], [75]- [77], [82], [85], [92], [98], [99], [101]- [103], [119], [130], [141], [142], [156]- [159] Audio Signal Processing and Analysis …”

Section: Applications Corresponding Publicationsmentioning

confidence: 99%

A Survey of Complex-Valued Neural Networks

Bassey¹,

Qian²,

Li³

2021

Preprint

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Artificial neural networks (ANNs) based machine learning models and especially deep learning models have been widely applied in computer vision, signal processing, wireless communications, and many other domains, where complex numbers occur either naturally or by design. However, most of the current implementations of ANNs and machine learning frameworks are using real numbers rather than complex numbers. There are growing interests in building ANNs using complex numbers, and exploring the potential advantages of the so called complex-valued neural networks (CVNNs) over their real-valued counterparts. In this paper, we discuss the recent development of CVNNs by performing a survey of the works on CVNNs in the literature. Specifically, detailed review of various CVNNs in terms of activation function, learning and optimization, input and output representations, and their applications in tasks such as signal processing and computer vision are provided, followed by a discussion on some pertinent challenges and future research directions.

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Detection of alterations in watermarked medical images using Fast Fourier Transform and Complex-Valued Neural Network

Cited by 2 publications

References 27 publications

Hough Transform-Based Robust Informed Watermarking Approach for Medical Images

Hough Transform-Based Robust Informed Watermarking Approach for Medical Images

A Survey of Complex-Valued Neural Networks

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