A proposed secure multiple watermarking technique based on DWT, DCT and SVD for application in medicine

• Published in: Multimedia tools and applications Vol. 77; no. 4; pp. 4863 - 4882
• Main Authors: Zear, Aditi, Singh, Amit Kumar, Kumar, Pardeep
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.02.2018; Springer Nature B.V
• Subjects: Artificial neural networks; Back propagation networks; Coding; Computer Communication Networks; Computer Science; Data Structures and Information Theory; Diagnostic systems; Discrete cosine transform; Discrete Wavelet Transform; Embedding; Error correction; Health care; Identity theft; Image enhancement; Image quality; Multimedia Information Systems; Neural networks; Noise reduction; Robustness; Signal processing; Singular value decomposition; Special Purpose and Application-Based Systems; Theft; Watermarking; Wavelet transforms; Multimedia data; Healthcare; Discrete wavelet transforms; Back propagation neural network; Discrete cosine transform; Singular value decomposition

In this paper, an algorithm for multiple watermarking based on discrete wavelet transforms (DWT), discrete cosine transform (DCT) and singular value decomposition (SVD) has been proposed for healthcare applications. For identity authentication purpose, the proposed method uses three watermarks in th...