A Hybrid robust watermarking system based on discrete cosine transform, discrete wavelet transform, and singular value decomposition

Begum, Mahbuba; Ferdush, Jannatul; Uddin, Mohammad Shorif

doi:10.1016/j.jksuci.2021.07.012

Cited by 48 publications

(45 citation statements)

References 31 publications

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“…As shown in Figure 8 , the test images include the

grayscale host image “baboon” and eight grayscale watermark images with a size of

, which are downloaded from the widely used public image database USC-SIPI. We compare our method with several existing recent ones which include the hybrid blind digital image watermarking methods [ 33 ], visually meaningful image encryption scheme based on a single chaotic map [ 18 ], blind color image watermarking method based on DWT and DCT [ 34 ], blind digital image watermarking based on Henon Chaotic Map and Elliptic Curve Cryptography [ 35 ], and secure and robust digital watermarking scheme based on logistic and RSA encryption [ 36 ]. The evaluated indicators involve capacity, imperceptibility, robustness, and security.…”

Section: Resultsmentioning

confidence: 99%

A Hyper-Chaotically Encrypted Robust Digital Image Watermarking Method with Large Capacity Using Compress Sensing on a Hybrid Domain

Yang

Sun

et al. 2022

Entropy

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The digital watermarking technique is a quite promising technique for both image copyright protection and secure transmission. However, many existing techniques are not as one might have expected for robustness and capacity simultaneously. In this paper, we propose a robust semi-blind image watermarking scheme with a high capacity. Firstly, we perform a discrete wavelet transformation (DWT) transformation on the carrier image. Then, the watermark images are compressed via a compressive sampling technique for saving storage space. Thirdly, a Combination of One and Two-Dimensional Chaotic Map based on the Tent and Logistic map (TL-COTDCM) is used to scramble the compressed watermark image with high security and dramatically reduce the false positive problem (FPP). Finally, a singular value decomposition (SVD) component is used to embed into the decomposed carrier image to finish the embedding process. With this scheme, eight 256×256 grayscale watermark images are perfectly embedded into a 512×512 carrier image, the capacity of which is eight times over that of the existing watermark techniques on average. The scheme has been tested through several common attacks on high strength, and the experiment results show the superiority of our method via the two most used evaluation indicators, normalized correlation coefficient (NCC) values and the peak signal-to-noise ratio (PSNR). Our method outperforms the state-of-the-art in the aspects of robustness, security, and capacity of digital watermarking, which exhibits great potential in multimedia application in the immediate future.

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“…As shown in Figure 8 , the test images include the

grayscale host image “baboon” and eight grayscale watermark images with a size of

Section: Resultsmentioning

confidence: 99%

A Hyper-Chaotically Encrypted Robust Digital Image Watermarking Method with Large Capacity Using Compress Sensing on a Hybrid Domain

Yang

Sun

et al. 2022

Entropy

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“…It also gives suggestions for how to make more reliable schemes in the future. e work [8] achieved a superior imperceptibility of 57.6303 dB, and demonstrates that watermarking may be included in a host image using various transform operations, including discrete cosine transform (DCT), discrete wavelet transforms (DWT), and singular value decomposition (SVD). But not every design criterion is met at once by a single transformation.…”

Section: Related Workmentioning

confidence: 94%

Efficient Hybrid Blind Watermarking in DWT‐DCT‐SVD with Dual Biometric Features for Images

Mokashi

Bhat

Pujari

et al. 2022

Contrast Media & Molecular Imaging

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In the modern era of virtual computers over the notional environment of computer networks, the protection of influential documents is a major concern. To bring out this motto, digital watermarking with biometric features plays a crucial part. It utilizes advanced technology of cuffing data into digital media, i.e., text, image, video, or audio files. The strategy of cuffing an image inside another image by applying biometric features namely signature and fingerprint using watermarking techniques is the key purpose of this study. To accomplish this, a combined watermarking strategy consisting of Discrete Wavelet Transform, Discrete Cosine Transform, and Singular Value Decomposition (DWT-DCT-SVD) is projected for authentication of image that is foolproof against attacks. Here, singular values of watermark1 (fingerprint) and watermark2 (signature) are obtained by applying DWT-DCT-SVD. Affixing both the singular values of watermarks, we acquire the transformed watermark. Later, the same is applied to cover image to extract the singular values. Then we add these values to the cover image and transformed watermark to obtain a final watermarked image containing both signature and fingerprint. To upgrade the reliability, sturdiness, and originality of the image, a fusion of watermarking techniques along with dual biometric features is exhibited. The experimental results conveyed that the proposed scheme achieved an average PSNR value of about 40 dB, an average SSIM value of 0.99, and an embedded watermark resilient to various attacks in the watermarked image.

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“…Begum et al [14] presented a hybrid and robust watermarking scheme using DCT, DWT, and SVD. The Arnold map was used to encrypt the watermark image.…”

Section: Related Workmentioning

confidence: 99%

A Blind Robust Image Watermarking on Selected DCT Coefficients for Copyright Protection

Rahardi¹,

Abdulloh²,

Putra³

2022

IJACSA

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This paper proposes a blind and robust image watermarking technique using Discrete Cosine Transform (DCT) for copyright protection on color images called BRIW-DCT. Each channel of the host image is divided into non-overlapping image blocks with the size of 8×8 pixels. Each image block is transformed into a frequency domain using the DCT transformation. The watermark image is embedded into the host image by modifying the 11 th to the 15 th DCT coefficient. The experimental result shows that the watermarked image achieved a high PSNR value of 50.4489 dB and a high SSIM value of 0.9991. Furthermore, various attacks are performed on the watermarked image. BRIW-DCT can successfully recover the watermark image from the tampered image, which produces a high NC value of 0.7805 and a low BER value of 0.1126.

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A Hybrid robust watermarking system based on discrete cosine transform, discrete wavelet transform, and singular value decomposition

Cited by 48 publications

References 31 publications

A Hyper-Chaotically Encrypted Robust Digital Image Watermarking Method with Large Capacity Using Compress Sensing on a Hybrid Domain

A Hyper-Chaotically Encrypted Robust Digital Image Watermarking Method with Large Capacity Using Compress Sensing on a Hybrid Domain

Efficient Hybrid Blind Watermarking in DWT‐DCT‐SVD with Dual Biometric Features for Images

A Blind Robust Image Watermarking on Selected DCT Coefficients for Copyright Protection

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