An adaptive color image watermarking using RDWT-SVD and artificial bee colony based quality metric strength factor optimization

Sharma, Sourabh; Sharma, Harish; Sharma, Janki Ballabh

doi:10.1016/j.asoc.2019.105696

Cited by 61 publications

(39 citation statements)

References 39 publications

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“…In the SVDbased scheme, the watermark image is usually placed in the singular value of the cover image [45], [49]. Normally, two common techniques used to insert watermark information into a cover image are: the first technique is to insert the secret image directly into the cover image's singular value [8], [13], [24], [27], [32] and the second technique is to insert the value of the secret image into the cover image's singular value [11], [21]. Mostly literature of digital image watermarking only inserts the secret image's singular value into the cover image's singular value.…”

Section: Related Workmentioning

confidence: 99%

“…Compared with traditional image processing techniques, even geometric distortion, the SVD-based scheme shows better strength and robustness. However, watermark embedding using the SVD technique can lead to ambiguity in the false-positive problem (FPP) [32], [45], [50], [51]. An intruder could freely get the right secret information from an illegal image, which is taken from the web or a publicly accessible source.…”

Section: Related Workmentioning

confidence: 99%

“…When any image whose inserted watermark is different from the restored watermark, can obtain the correct forged restored watermark, an FPP occurs. Moreover, the issue of FPP can be resolved using the principal component (PC) [17], [32], [50], [51], [53]. Hence, the high robustness, greater embedding strength, and resistance to a false-positive problem (FPP) with good perceptual quality of a watermarking scheme remain a major issue among researchers.…”

Section: Related Workmentioning

confidence: 99%

“…The high-frequency sub-images provide details on edge elements, and low-frequency sub-images (which provides smoothness information) are again divided into low as well as high-frequency sub-images [1], [12], [24]. As the low-frequency sub-images carries the highest energy, the change here causes the image quality to degrade significantly [1], [1], [32]. High-frequency sub-images are commonly used for watermarking attacks, as evidence indicates that the human visual system (HVS) is typically less prone to high-frequency coefficients [1], [24].…”

Section: Introductionmentioning

confidence: 99%

“…High-frequency sub-images are commonly used for watermarking attacks, as evidence indicates that the human visual system (HVS) is typically less prone to high-frequency coefficients [1], [24]. Therefore, the high-frequency sub-images are regarded as being the most important sub-images for watermark embedding [31], [32].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

A Novel Optimized Semi-Blind Scheme for Color Image Watermarking

2020

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Image watermarking is a robust solution for solving key issues like copyright protection and proof of ownership of digital data. Existing schemes of image watermarking mostly used grayscale or binary images as embedded watermarks, while only a few watermarking schemes are developed for color images. In this paper, we propose a novel robust semi-blind image watermarking scheme based on finite ridgelet transform (FRT), discrete wavelet transform (DWT), singular value decomposition (SVD), particle swarm optimization (PSO), and Arnold transform to protect copyright and verify the authenticity of color images. Firstly, the color image is converted from RGB to YCbCr color space, and the luminance component (Y) is taken into account to insert the watermark data. In this study, the principal component (PC) of the watermark image is directly inserted into the corresponding singular value of the cover image by the scaling factor to avoid the false positive problem (FPP). To further improve security, Arnold transform is applied to process the Y channel of the watermark image before inserting it in the cover image. Besides, PSO optimizes the embedding factor matrices. The qualitative evaluation factors like peak signal-to-noise ratio (PSNR) and structural similarity (SSIM) are used to assess the visual quality, while normalized correlation coefficient (NCC) is used to assess the resemblance between the watermarked and the restored watermarked images. The performance of the proposed scheme is evaluated using geometric, non-geometric, and combinational attacks, and its comparison is performed with different image watermarking schemes to prove its robustness.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Novel Optimized Semi-Blind Scheme for Color Image Watermarking

2020

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A new video watermarking using redundant discrete wavelet in singular value decomposition domain with multi‐objective optimization

Kumar¹,

Srinivas²,

Prabhakar

2021

Concurrency and Computation

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Day by day, the transmission or sharing of digital information online is increasing due to the fact that Internet usage has become somewhat of an addiction for the majority of people. This results in larger copyright violation problems. Nowadays, most of the data or information is being transmitted in the form of digital images or videos, which are rather simple for the violators of copyright to forge or fake and then share for profit. Thus, digital watermarking came into existence as a possible solution to address these violations of copyright. This article proposes a new blind video watermarking (BVW) using redundant discrete wavelet transform (RDWT) in singular value decomposition (SVD) domain, which utilizes the advantages of both RDWT and SVD to embed and extract the watermark information into the cover video without degrading the quality of the watermark. In addition, an efficient meta‐heuristic optimization with multi‐objective optimization (MOO) is employed to further optimize the proposed RDWT‐SVD approach. Further, various attacks were applied to the watermarked frame to disclose the robustness of proposed BVW using RDWT‐SVD with MOO approach. Extensive simulations on several test videos with comparison to the conventional BVW methodologies exhibit the transcendency of the proposed BVW using RDWT‐SVD with MOO approach in terms of watermarking quality evaluation metrics such as peak signal‐to‐noise ratio (PSNR), structural similarity index, normalized correlation, and even that of root mean square error as well.

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A Novel Robust Adaptive Color Image Watermarking Scheme Based on Artificial Bee Colony

Wan-she

2022

Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications

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This paper proposes a new robust adaptive watermarking scheme based on dual-tree quaternion wavelet and artificial bee colony, wherein the host images and watermark images are both color images. Color host images and watermark images in RGB space are transformed into YCbCr space. Then, apply Arnold chaotic map on their luminance components and use the artificial bee colony optimization algorithm to generate embedding watermark strength factor. Dual-tree quaternion wavelet transform is performed on the luminance component of the scrambled host image. Apply singular value decomposition on its low-frequency amplitude sub-band to obtain the principal component (PC). Embed the watermark into the principal component. Analysis and experimental results show that the proposed scheme is better as compared to the RDWT-SVD scheme and the QWT-DCT scheme.

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An adaptive color image watermarking using RDWT-SVD and artificial bee colony based quality metric strength factor optimization

Cited by 61 publications

References 39 publications

A Novel Optimized Semi-Blind Scheme for Color Image Watermarking

A Novel Optimized Semi-Blind Scheme for Color Image Watermarking

A new video watermarking using redundant discrete wavelet in singular value decomposition domain with multi‐objective optimization

A Novel Robust Adaptive Color Image Watermarking Scheme Based on Artificial Bee Colony

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