Fast image watermarking based on signum of cosine matrix

Ernawan, Ferda; Adi, Prajanto Wahyu; Liew, Siau-Chuin; Sarwoko, Eko Adi; Winarno, Edy

doi:10.11591/ijeecs.v25.i3.pp1383-1391

Cited by 3 publications

(3 citation statements)

References 24 publications

(24 reference statements)

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“…Touati and Lakhdar [17] presented an efficient scheme based on quantization coefficient and SVD in spatial domain for self-embedding watermarks for compression types of attacks. A watermarking technique using signum of cosine matrix requires less computational time compared to SVD methods, but robustness is good for few attacks [18].…”

Section: Introductionmentioning

confidence: 99%

Firefly optimized robust, imperceptible, secure watermarking scheme

Agrawal

Bhalchandra

2022

IJEECS

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A multi-objective optimized hybrid image watermarking technique is being proposed considering robustness, imperceptibility and security aspects using two different scaling factors. In this technique, original image is subjected to third level lifting wavelet transform (LWT) followed by singular value decomposition (SVD). Watermark is split into two parts to embed each of them into a different subband. In the suggested scheme, firefly algorithm is employed to get optimum solutions for two scaling factors to balance trade-off amid invisibility and robustness. Security in digitized data is an important aspect of image processing. It is improved with a key, an input to Arnold transform for scrambling watermark, to watermark embedding and extraction procedures. All the performance parameters like peak signal to noise ratio (PSNR), structural similarity index measure (SSIM), normalized correlation coefficient (NCC) and bit error rate (BER) are used in formulating maximization objective function. Evaluation of the proposed algorithm indicates that it is characterized by fairly good robustness, invisibility and security.

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Section: Introductionmentioning

confidence: 99%

Firefly optimized robust, imperceptible, secure watermarking scheme

Agrawal

Bhalchandra

2022

IJEECS

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“…The most powerful attacks are JPEG compression, salt and pepper, Gaussian blur and other attacks to reach values for the maximum Peak signal-to-noise ratio (PSNR) and also Arnold transform (AT) with SVD to flood watermarks in addition to using the sine matrix due to the strength of the attacks [31], [32], [33] In this work, new discrete Laguerre wavelets transform derived from Lacier polynomials are proposed and used quick response code (QR code) in image analysis and compression in order to reduce the image data for watermark immersion and to reach the most significant results based on PSNR and normal correlation (NC) values.…”

Section: Introductionmentioning

confidence: 99%

Novel Watermarking efficiency using New Discrete Laguerre Wavelets Transform (NDLWT)

Abdulrahman

Ammar

Tahir

2022

ijhs

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Watermarking in protecting brands from possible counterfeiting is considered one of the methods of processing digital and color images. This technique requires the discovery of advanced methods to obtain the best results by discovering a new filter instead of the standard filters that were used without reaching the peak of the required and optimal values through which the images are analyzed. Colored with the proposed watermark in the process of immersion and separation the new filter is derived from Laguerre polynomials and using mathematical methods to derive the filter. And using it in analyzing the image to reach the best results, and through the proposed New Discrete Laguerre Wavelets Transform NDLWT for watermark algorithms it becomes clear the efficiency of the proposed theory in reading the most important criteria for the quality of the extracted image.

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“…The SVD-based active detection method does produce good image quality, but this method has a high level of complexity so it requires a long computational time [24]. This is due to the SVD decomposition process which results in one singular matrix S and two orthogonal matrices U and V on each block, where only the S is used and ignores the other two variables [25]. The main problem of implementing an image authentication system through watermarking is the high level of complexity of popular algorithms such as SVD.…”

mentioning

confidence: 99%

Fragile watermarking for image authentication using dyadic walsh ordering

Adi,

Wibowo,

Aryotejo

et al. 2023

Int. J. Adv. Intell. Informatics

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A digital image is subjected to the most manipulation. This is driven by the easy manipulating process through image editing software which is growing rapidly. These problems can be solved through the watermarking model as an active authentication system for the image. One of the most popular methods is Singular Value Decomposition (SVD) which has good imperceptibility and detection capabilities. Nevertheless, SVD has high complexity and can only utilize one singular matrix S, and ignore two orthogonal matrices. This paper proposes the use of the Walsh matrix with dyadic ordering to generate a new S matrix without the orthogonal matrices. The experimental results showed that the proposed method was able to reduce computational time by 22% and 13% compared to the SVD-based method and similar methods based on the Hadamard matrix respectively. This research can be used as a reference to speed up the computing time of the watermarking methods without compromising the level of imperceptibility and authentication.

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Fast image watermarking based on signum of cosine matrix

Cited by 3 publications

References 24 publications

Firefly optimized robust, imperceptible, secure watermarking scheme

Firefly optimized robust, imperceptible, secure watermarking scheme

Novel Watermarking efficiency using New Discrete Laguerre Wavelets Transform (NDLWT)

Fragile watermarking for image authentication using dyadic walsh ordering

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