Optimised robust watermarking technique using CKGSA in DCT‐SVD domain

Singh, Roop; Ashok, Alaknanda; Saraswat, Mukesh

doi:10.1049/iet-ipr.2019.1059

Cited by 21 publications

(10 citation statements)

References 40 publications

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“…To this end, a combination of fast curvelet transform and SVD embeds watermark (EPR) after encoding into patient's healthy and diseased optical coherence tomography (OCT) scans [19]; this scheme has shown a high level of imperceptibility, robustness, and security of EPRs as compared to existing watermarking schemes. A digital watermark protocol proposed by [20] solves the false-positive problem by using a chaotic Kbest gravitational search algorithm in two domains, i.e., SVD and DCT. An efficient watermarking scheme in terms of imperceptibility, security, and robustness proposed by [21] embeds the watermark by Fractional Moments of Charlier-Meixner.…”

Section: Related Workmentioning

confidence: 99%

Robust Secure Color Image Watermarking Using 4D Hyperchaotic System, DWT, HbD, and SVD Based on Improved FOA Algorithm

Nazir

Bajwa

Samiullah

et al. 2021

Security and Communication Networks

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In the recent past, a different set of algorithms for watermarking and securing the color images have been developed by using transformation, decomposition, and optimization techniques for watermark embedding and extraction. In this paper, we propose an optimized and robust watermarking algorithm coupled with a 4D hyperchaotic system, and its performance is analyzed by extending and differentiating the existing work. Our contribution in the presented work is watermarking and securing the color images by an optimized algorithm that uses transformation technique such as Discrete Wavelet Transformation (DWT) and decomposition techniques such as Hessenberg decomposition (HbD) and singular value decomposition (SVD) coupled with the 4D hyperchaotic system, while the optimization is carried out by improved evolution fruit fly optimization algorithm (IEFOA). The experimental results based on different types of attacks (filter attacks, noise attacks, cropping attack, JPEG compression, motion blur, sharpening, and rotation), key sensitivity, normalized correlation, peak signal-to-noise ratio, and structural similarity index measure are done for measuring the algorithm’s performance regarding invisibility and robustness. The experimental results show that the proposed scheme has excellent invisibility and keeps a good trade-off between invisibility and robustness. The experiment results show that the proposed approach outperforms the previous approaches.

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Section: Related Workmentioning

confidence: 99%

Robust Secure Color Image Watermarking Using 4D Hyperchaotic System, DWT, HbD, and SVD Based on Improved FOA Algorithm

Nazir

Bajwa

Samiullah

et al. 2021

Security and Communication Networks

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“…The utilization of image compression techniques is of great significance in the process of lowering the file size of digital photos, with the primary objective of preserving the visual quality of the image. Images play a crucial role in a multitude of applications by facilitating efficient storage, transport, and sharing processes [1][2][3][4]. Some prominent image compression techniques, as depicted in Figure 1, are explained as follows:…”

Section: Introductionmentioning

confidence: 99%

“…They are appropriate for applications where pixel precision is essential, such as medical imaging and text documents. Examples of popular algorithms includes run-length encoding (RLE), arithmetic coding, and Huffman coding [1][2][3]. ii.…”

Section: Introductionmentioning

confidence: 99%

Adaptive block size selection in a hybrid image compression algorithm employing the DCT and SVD

Garg,

Kumar

2024

International Journal on Smart Sensing and Intelligent Systems

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The rationale behind this research stems from practical implementations in real-world scenarios, recognizing the critical importance of efficient image compression in fields such as medical imaging, remote sensing, and multimedia communication. This study introduces a hybrid image compression technique that employs adaptive block size selection and a synergistic combination of the discrete cosine transform (DCT) and singular value decomposition (SVD) to enhance compression efficiency while maintaining picture quality. Motivated by the potential to achieve significant compression ratios imperceptible to human observers, the hybrid approach addresses the escalating need for real-time image processing. The study pushes the boundaries of image compression by developing an algorithm that effectively combines conventional approaches with the intricacies of modern images, aiming for high compression ratios, adaptive picture content, and real-time efficiency. This article presents a novel hybrid algorithm that dynamically combines the DCT, SVD, and adaptive block size selection to enhance compression performance while keeping image quality constant. The proposed technique exhibits noteworthy accomplishments, achieving compression ratios of up to 60% and a peak signal-to-noise ratio (PSNR) exceeding 35 dB. Comparative evaluations demonstrate the algorithm’s superiority over existing approaches in terms of compression efficiency and quality measures. The adaptability of this hybrid approach makes significant contributions across various disciplines. In multimedia, it enhances data utilization while preserving image integrity; in medical imaging, it guarantees accurate diagnosis with compression-induced distortion (CID) below 1%; and in remote sensing, it efficiently manages large datasets, reducing expenses. The flexibility of this algorithm positions it as a valuable tool for future advancements in the rapidly evolving landscape of technology.

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“…Approaches of this domain have low computational complexity. However, these methods have poor data-hiding ability and low robustness [6,7]. On the contrary, frequency domain methods are pretty much efficient in this respect.…”

Section: Introductionmentioning

confidence: 99%

Optimal keyframe selection-based lossless video-watermarking technique using IGSA in LWT domain for copyright protection

Singh

Mittal

Pal

2021

Complex Intell. Syst.

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Video piracy is a challenging issue in the modern world. Approximately $$90\%$$ 90 % of newly released films were illegally distributed around the world via the Internet. To overcome this issue, video watermarking is an effective process that integrates a logo in video frames as a watermark. Therefore, this paper presents an efficient lossless video-watermarking scheme based on optimal keyframe selection using an intelligent gravitational search algorithm in linear wavelet transform. This technique obtains color motion and motionless frames from the cover video by the histogram difference method. One-level linear wavelet transform is performed on the chrominance channel of motion frames and a low-frequency sub-band LL opts for watermark embedding. The performance of the proposed technique has been evaluated against 12 video processing attacks in terms of imperceptibility and robustness. Experiments demonstrate that the proposed technique outperforms five state-of-the-art schemes on the considered attacks.

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Optimised robust watermarking technique using CKGSA in DCT‐SVD domain

Cited by 21 publications

References 40 publications

Robust Secure Color Image Watermarking Using 4D Hyperchaotic System, DWT, HbD, and SVD Based on Improved FOA Algorithm

Robust Secure Color Image Watermarking Using 4D Hyperchaotic System, DWT, HbD, and SVD Based on Improved FOA Algorithm

Adaptive block size selection in a hybrid image compression algorithm employing the DCT and SVD

Optimal keyframe selection-based lossless video-watermarking technique using IGSA in LWT domain for copyright protection

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