A Robust Color Image Watermarking Scheme Using Entropy and QR Decomposition

Laur, Lauri; Rasti, Pejman; Agoyi, Mary; Anbarjafari, Gholamreza

doi:10.13164/re.2015.1025

Cited by 16 publications

(11 citation statements)

References 24 publications

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“…These techniques embed the digital watermark in colored image. The obtained results of the developed algorithm showed that is robustness and imperceptiblity against various signal operation attack like compression and histogram equalization [4].…”

Section: Related Workmentioning

confidence: 92%

A performance evaluation of transform domain algorithm in watermarking based on different levels of sub-bands of discrete wavelet transform

Aqel

Umar

Agoyi

2019

PEN

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This study proposed to evaluate the performance of transform domain algorithms in watermarking based on different level of sub bands of discrete wavelet transform (DWT) that can be used to overcome illegal copy, manipulation, distribution and reproduction of image on the network by implementing watermarking algorithm based on different levels that is lowlevel (LL), low-high (LH), high-low (HL), High-high (HH) and singular value decomposition (SVD) on image for their robustness, and imperceptibility. Moreover, two parameters were applied to evaluate the performance. That is, peak signal to noise ratio (PSNR) is used to measure imperceptibility of the digital image while normalize cross correlation (NCC) is applied to measure the robustness of digital image. The performance evaluations of the proposed method were implemented in MATLAB. The results showed that the described method imperceptible of HL level sub-bands than other levels of sub-bands. While the robustness is achieved by all levels sub-bands.

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Section: Related Workmentioning

confidence: 92%

A performance evaluation of transform domain algorithm in watermarking based on different levels of sub-bands of discrete wavelet transform

Aqel

Umar

Agoyi

2019

PEN

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“…Similarly, entropy is associated with a combination of unidimensional fuzzy classifiers in order to segment images as shown in paper [79] . An entropy-based watermarking scheme is successfully implemented in article [47] , robust against traditional signal processing attacks. Noisy spectral image fusion is the focus of article [87] , in which the authors apply entropy to minimize the negative effects of noise on the selections of image features.…”

Section: A Review On Entropy and Its Applicationsmentioning

confidence: 99%

A tutorial review on entropy-based handcrafted feature extraction for information fusion

Guido

2018

Information Fusion

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Entropy (H) is the main subject of this article, concisely written to serve as a tutorial introducing two feature extraction (FE) methods for usage in digital signal processing (DSP) and pattern recognition (PR). The theory, carefully exposed, is supplemented with numerical cases, augmented with C/C ++ sourcecodes and enriched with example applications on restricted-vocabulary speech recognition and image synthesis. Complementarily and as innovatively shown, the ordinary calculation of H corresponds to the outcome of a partially pre-tuned deep neural network architecture which fuses important information, bringing a cutting-edge point-of-view for both DSP and PR communities.

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“…To protect the copyright of color images, Roy and Pal [14] proposed a hybrid robust watermarking scheme that combines SVD with the redundant discrete wavelet transform (RDWT). In [15], Laur et al proposed a robust color image watermarking based on entropy and QR decomposition. The entropy is used to select the image blocks for watermark embedding.…”

Section: Introductionmentioning

confidence: 99%

A Robust Image Watermarking Technique Based on DWT, APDCBT, and SVD

2018

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Copyright protection for digital multimedia has become a research hotspot in recent years. As an efficient solution, the digital watermarking scheme has emerged at the right moment. In this article, a highly robust and hybrid watermarking method is proposed. The discrete wavelet transform (DWT) and all phase discrete cosine biorthogonal transform (APDCBT) presented in recent years as well as the singular value decomposition (SVD) are adopted in this method to insert and recover the watermark. To enhance the watermark imperceptibility, the direct current (DC) coefficients after block-based APDCBT in high frequency sub-bands (LH and HL) are modified by using the watermark. Compared with the conventional SVD-based watermarking method and another watermarking technique, the watermarked images obtained by the proposed method have higher image quality. In addition, the proposed method achieves high robustness in resisting various image processing attacks.

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A Robust Color Image Watermarking Scheme Using Entropy and QR Decomposition

Cited by 16 publications

References 24 publications

A performance evaluation of transform domain algorithm in watermarking based on different levels of sub-bands of discrete wavelet transform

A performance evaluation of transform domain algorithm in watermarking based on different levels of sub-bands of discrete wavelet transform

A tutorial review on entropy-based handcrafted feature extraction for information fusion

A Robust Image Watermarking Technique Based on DWT, APDCBT, and SVD

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