Watermarking image encryption using deterministic phase mask and singular value decomposition in fractional Mellin transform domain. Issue 11 (11th September 2018)

• Record Type: Journal Article
• Authors: Singh, Hukum
• Is Part Of: IET image processing. Volume 12:Issue 11(2018)
• Page Start: 1994
• Page End: 2001
• Publication Date: 2018-09-11
• Subjects: image watermarking -- image coding -- transforms -- cryptography -- singular value decomposition -- image retrieval -- random codes -- phase coding; mean square error -- noise effect -- enhanced security -- image retrieval -- Matlab R2014a -- decryption process -- unitary matrices -- one diagonal matrix -- matrix decomposition -- optical setup -- axis alignment -- FrMT orders -- DPM structured phase mask -- frequency planes -- fractional Mellin transform domain -- image encryption watermarking -- host image -- extra encryption parameters -- double random phase encoding -- SVD -- singular value decomposition -- deterministic phase mask; Image processing -- Periodicals; 621.36705
• DOI: 10.1049/iet-ipr.2018.5399
• Languages: English
• ISSNs: 1751-9659

Abstract

Abstract : The aim of this study is watermarking image encryption based on the fractional Mellin transform (FrMT) and singular value decomposition (SVD) using deterministic phase masks (DPMs). DPMs are used in the input as well as in the frequency planes of double random phase encoding. The use of DPM structured phase mask provides an advantage of extra encryption parameters, besides overcoming the problem of axis alignment associated with an optical setup. The encrypted image resulting from the application of FrMT is attenuated by a factor and then combined with a host image to provide a watermarked image. Afterwards, SVD is performed to get three decomposed matrices, i.e. one diagonal matrix and two unitary matrices. The decryption process is the reverse of encryption. Digital implementation of the proposed scheme has been performed using MATLAB R2014a (8.3.0.532). The watermark image is retrieved by using the corresponding FrMT orders and conjugate of DPMs. Use of the FrMT provides enhanced security due to the non‐linear nature of the transform. The effect of noise on the watermarked image has also been investigated. Mean square error between the output and input watermarks shows the accuracy of the proposed scheme.