A sophisticated and provably grayscale image watermarking system using DWT-SVD domain

Abstract

Digital watermarking has attracted increasing attentions as it has been the current solution to copyright protection and content authentication in today's digital transformation, which has become an issue to be addressed in multimedia technology. In this paper, we propose an advanced image watermarking system based on the discrete wavelet transform (DWT) in combination with the singular value decomposition (SVD). Firstly, at the sender side, DWT is applied on a grayscale cover image and then eigendecomposition is performed on original HH (high-high) components. Similar operation is done on a grayscale watermark image. Then, two unitary and one diagonal matrices are combined to form a digital watermarked image applying inverse discrete wavelet transform (iDWT). The diagonal component of original image is transmitted through secured channel. At the receiver end, the watermark image is recovered using the watermarked image and diagonal component of the original image. Finally, we compare the original and recovered watermark image and obtained perfect normalized correlation. Simulation consequences indicate that the presented scheme can satisfy the needs of visual imperceptibility and also has high security and strong robustness against many common attacks and signal processing operations. The proposed digital image watermarking system is also compared to state-of-the-art methods to confirm the reliability and supremacy.

Non-blind Image Watermarking Algorithm based on Non-Separable Haar Wavelet Transform against Image Processing and Geometric Attacks

“…The PSNR of the proposed algorithm is higher than algorithms by [14] and [15], but less than the algorithm by [16]. The proposed algorithm also achieved higher SSIM value than the algorithm by [16], but less than algorithm [17].…”

“…Against the algorithm in [16], the proposed algorithm is more robust against JPEG compression, and salt and pepper noise. Algorithm [17] is more robust than the proposed algorithm against all the compared attacks. Although the proposed algorithm does not perform better than every chosen algorithm against every chosen attack, there are certain attacks where it proves to be stronger than another algorithm.…”

“…Naffouti et al, [17] proposed an advanced image watermarking system using DWT and SVD. DWT decomposes both the grayscale cover image and watermark image, followed by eigendecomposition on the HH sub-band.…”

An encrypted hiding scheme for 3D objects based on CGH and Henon mapping

“…This technology offers a dependable solution to enhance the security and integrity of transmitting encrypted 3D images [24]. In the past few years, scholars have significantly enhanced the system's security by synergistically integrating multiple hiding techniques [25][26][27][28][29]. In Naffou's research [27], a method was proposed to hide information in the high-frequency sub-bands obtained by discrete wavelet transform (DWT).…”

“…In the past few years, scholars have significantly enhanced the system's security by synergistically integrating multiple hiding techniques [25][26][27][28][29]. In Naffou's research [27], a method was proposed to hide information in the high-frequency sub-bands obtained by discrete wavelet transform (DWT). The method combined singular value decomposition (SVD) to eigen decompose the high-frequency components, resulting in improved overall performance.…”