A semi-blind HVS based image watermarking scheme using elliptic curve cryptography

Gupta, Ritu; Mishra, Anurag; Jain, Sarika

doi:10.1007/s11042-017-5351-0

Cited by 22 publications

(6 citation statements)

References 19 publications

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“…Gupta et al [20] used a cryptographic technique called Elliptic Curve Cryptography (ECC) in a semi-blind strategy of digital image watermarking. The proposed watermarking method was implemented within the DWT and SVD domain.…”

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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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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“…This technique found superior against different types of attacks. Gupta et al (2018) inserted a binary watermark in semi-blind approach based on advanced encryption scheme generally known as Elliptic curve cryptography to embed a watermark. The method uses DWT-DVD techniques along with ECC and achieved better results.…”

Section: Literature Reviewmentioning

confidence: 99%

Robust and Secure Watermarking for Propagation of Digital Multimedia by Paillier Homomorphic Cryptosystem With Arnold Transformation

Agarwal

Singh

2021

International Journal of E-Health and Medical Communications

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Sharing of digital media over internet is becoming easier due to content authentication and security provided by digital watermarking. It also locates application in other fields like copyright protection, tele-medicine, military, tamper detection, and many more. This paper represents the robust watermarking approach using Paillier homomorphic cryptosystem with Arnold transformation. In this, the watermarking system is primarily prepared at an encrypted DWT-DCT domain. Cryptosystem is exploited at this time to encrypt the original media. For more security of multimedia content, the watermark image is scrambled through Arnold scrambling technique. The embedding process is done here to produce the encrypted watermark image followed by the encryption process. At recovery phase, decryption of encrypted watermark image to get the original and watermark image is done. The experimental result has shown that watermarking method is more robust and offers the security of digital media.

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“…[10] have proposed a robust and secure watermarking architecture based on fractal dimensions using the human visual system (HVS) model and Mamdani based Fuzzy Interface System (FIS). Over the past few years, several other techniques like using semi − blind Human Visual System [11], Dual Tree Complex Wavelet Transform − Discrete Cosine Transform (DTCWT − DCT) [12] and 2 Dimensional − Discrete Cosine Transform (2D − DCT) [13] have been introduced and studied. Hosny et.…”

Section: Introductionmentioning

confidence: 99%

Robust and Secure Digital Image Watermarking Technique Using Arnold Transform and Memristive Chaotic Oscillators

et al. 2021

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With the advent of technology and multimedia production, the world has witnessed a tremendous increase in digital media attacks, which duplicates, forges and tamper the data leading to the violation of copyright laws. In this paper, a robust and secure digital image watermarking is proposed, which exploits the chaotic behaviour of the nonlinear oscillators realized through Memristive diodes. The proposed scheme relies on a Human Visual System (HVS) model in order to mimic the real-life scenario. To improve the robustness of the proposed approach and to further increase the security of the digital watermarked media whilst still retaining compatibility with the real-time events, Histogram of Oriented Gradients (HOG) and extreme learning machine (ELM) is implemented. Secure key generation by means of scrambling through Arnold Transform and the coefficients of Memristive Chaotic Oscillator ensures extreme security. The watermark embedding followed the pixel transformation based on discrete cosine coefficient modification, and a semiblind watermarking extraction procedure was carried out through trained ELM models. A detailed analysis has been presented to evaluate the tradeoff between imperceptibility, security and robustness using performance metrics like PSNR, NC, SSIM, and BER. To establish a real-time implementation of the proposed architecture, the simulated results were verified using real-time chaotic signals generated from the chaotic oscillator, which dictates excellent performance against watermarking attacks and image processing tasks.

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A semi-blind HVS based image watermarking scheme using elliptic curve cryptography

Cited by 22 publications

References 19 publications

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

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

Robust and Secure Watermarking for Propagation of Digital Multimedia by Paillier Homomorphic Cryptosystem With Arnold Transformation

Robust and Secure Digital Image Watermarking Technique Using Arnold Transform and Memristive Chaotic Oscillators

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