Hybrid domain watermarking technique for copyright protection of images using speech watermarks

Thanki, Rohit M.; Kothari, Ashish M.

doi:10.1007/s12652-019-01295-1

Cited by 15 publications

(3 citation statements)

References 44 publications

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“…The use of speech watermarks introduces a novel and potentially secure element to the copyright protection strategy. [11] Christine I. Podilchukand Raymond B. Wolfgang [1] described the invisible but transparent watermarking scheme for image as well as video. They explained the exploitation of properties of human visual system.…”

Section: Literature Reviewmentioning

confidence: 99%

A Novel Approach To Achieve Dual Security In Images Using Advanced Watermarking Technique

Pithiya,

2024

eatp

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Section: Literature Reviewmentioning

confidence: 99%

A Novel Approach To Achieve Dual Security In Images Using Advanced Watermarking Technique

Pithiya,

2024

eatp

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“…Thanki and Kothari [12] proposed a watermarking technique using human speech signals as the watermark. For this, the watermark's hybrid coefficients were derived using the DCT and subsequently subjected to SVD.…”

Section: Related Workmentioning

confidence: 99%

A Robust and Secure Watermarking Approach Based on Hermite Transform and SVD-DCT

et al. 2023

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Currently, algorithms to embed watermarks into digital images are increasing exponentially, for example in image copyright protection. However, when a watermarking algorithm is applied, the preservation of the image’s quality is of utmost importance, for example in medical images, where improper embedding of the watermark could change the patient’s diagnosis. On the other hand, in digital images distributed over the Internet, the owner of the images must also be protected. In this work, an imperceptible, robust, secure, and hybrid watermarking algorithm is presented for copyright protection. It is based on the Hermite Transform (HT) and the Discrete Cosine Transform (DCT) as a spatial–frequency representation of a grayscale image. Besides, it uses a block-based strategy and a perfectibility analysis of the best embedding regions inspired by the Human Vision System (HVS), giving the imperceptibility of the watermark, and a Singular-Value Decomposition (SVD) approach improved robustness against attacks. In addition, the proposed method can embed two watermarks, a digital binary image (LOGO) and information about the owner and the technical data of the original image in text format (MetaData). To secure both watermarks, the proposed method uses the Jigsaw Transform (JST) and the Elementary Cellular Automaton (ECA) to encrypt the image LOGO and a random sequence generator and the XOR operation to encrypt the image MetaData. On the other hand, the proposed method was tested using a public dataset of 49 grayscale images to assess the effectiveness of the watermark embedding and extraction procedures. Furthermore, the proposed watermarking algorithm was evaluated under several processing and geometric algorithms to demonstrate its robustness to the majority, intentional or unintentional, attacks, and a comparison was made with several state-of-the-art techniques. The proposed method obtained average values of PSNR = 40.2051 dB, NCC = 0.9987, SSIM = 0.9999, and MSSIM = 0.9994 for the watermarked image. In the case of the extraction of the LOGO, the proposal gave MSE = 0, PSNR ≫ 60 dB, NCC = 1, SSIM = 1, and MSSIM = 1, whereas, for the image MetaData extracted, it gave BER = 0% and Berror=0. Finally, the proposed encryption method presented a large key space (K=1.2689×1089) for the LOGO image.

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“…In the second set, biometric data is embedded into natural images to protect intellectual property rights and copyright. Various biometric data such as speech signal [10,11], fingerprint [12][13][14], face [15,16], iris [17][18][19][20], and signature [21] are used as watermark for this purpose. Authors in [18] and [19] embedded iris code into cover image using Discrete Wavelet Transform (DWT)-Singular Value Decomposition (SVD)-based and Discrete Cosine Transform (DCT)-SVD-based hybrid watermarking schemes, respectively.…”

Section: Introductionmentioning

confidence: 99%

Biometric Watermarking Schemes Based on QR Decomposition and Schur Decompositon in RIDWT Domain

Altay

Ulutaş

2023

Preprint

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In this paper, two new methods are proposed to hide a biometric-based digital watermark generated from an iris image into a color image to resolve ownership conflicts. One of them is the QR decomposition-based approach in the redistributed invariant discrete wavelet transform (RIDWT) domain, and the other is the Schur decomposition-based approach in the RIDWT domain. After the Y channel of the color image in YCbCr space is decomposed by RIDWT, the lowest frequency sub-band is divided into non-overlapping blocks. Blocks with a lower standard deviation are selected to embed each bit of the watermark created from the iris image into a block. Watermarking of selected blocks is performed with QR decomposition in the first approach and Schur decomposition in the second approach. The firefly algorithm is used to balance the robustness and perceptual transparency in hiding the watermark. Experimental results are evaluated in terms of robustness and imperceptibility to prove the effectiveness of the proposed systems. In addition, validation performances are analyzed based on false rejection rate, false acceptance rate and equal error rate. The results show that both methods have high perceptual quality and robustness, and also a very low error rate in ownership verification.

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Hybrid domain watermarking technique for copyright protection of images using speech watermarks

Cited by 15 publications

References 44 publications

A Novel Approach To Achieve Dual Security In Images Using Advanced Watermarking Technique

A Novel Approach To Achieve Dual Security In Images Using Advanced Watermarking Technique

A Robust and Secure Watermarking Approach Based on Hermite Transform and SVD-DCT

Biometric Watermarking Schemes Based on QR Decomposition and Schur Decompositon in RIDWT Domain

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