A novel DCT domain CRT-based watermarking scheme for image authentication surviving JPEG compression

Patra, J.C.; Phua, Jiliang; Bornand, Cédric

doi:10.1016/j.dsp.2010.03.010

Cited by 176 publications

(77 citation statements)

References 34 publications

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“…Такие алгоритмы осуществляют внедрение ЦВЗ в частотные коэффициенты дискретного косинусного преобразования (ДКП) [2,3] и дискретного вейвлет-преобразования [4][5][6]. В последние годы в частотных алгоритмах цифрового маркирования применяется дискретное преобразование Адамара (ДПА) [7][8][9][10][11][12][13][14], которое для дополнительного уменьшения вычислительной сложности определяется строчно-столбцовым образом:…”

Section: Introductionunclassified

Increase of stability at jpeg compression of the digital watermarks embedded in still images

A¹

2015

Naučno-teh. vestn. inf. tehnol. meh. opt.

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Section: Introductionunclassified

Increase of stability at jpeg compression of the digital watermarks embedded in still images

A¹

2015

Naučno-teh. vestn. inf. tehnol. meh. opt.

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“…Equation (5) until equation (8) shows that IHWT is able to maintain the lost information due truncateon process in equation (1) until (4) by the addition of integer value of 1 in the reconstruction process. This lifting scheme is able to restore the missing value in watermarked image.…”

Section: Prajanto Wahyu Adi Et Al Robust Integer Haar Wavelet 27mentioning

confidence: 99%

“…Several studies about transform domain based watermarking have been carried out, such as Discrete Cosine Transform (DCT) [7][8], Discrete Wavelet Transform (DWT) [5,9], Lifting Wavelet…”

Section: Introductionmentioning

confidence: 99%

Robust Integer Haar Wavelet Based Watermarking Using Singular Value Decomposition

Adi

Rahmanti

2016

Jurnal Ilmu Komputer dan Informasi

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This paper proposed a hybrid watermarking method that used dither quantization of Singular Value Decomposition (SVD) on average coefficients of Integer Haar Wavelet Transform (IHWT). The watermark image embeds through dither quantization process on singular coefficients value. This scheme aims to obtain the higher robustness level than previous method which performs dither quantization of SVD directly on image pixels value. The experiment results show that the proposed method has proper watermarked images quality above 38dB. The proposed method has better performance than the previous method in term of robustness against several image processing attacks. In JPEG compression with Quality Factor of 50 and 70, JPEG2000 compression with Compression Ratio of 5 and 3, average filtering, and Gaussian filtering, the previous method has average Normalized Correlation ( Keywords: watermarking, SVD, integer wavelet transform, dither quantization AbstrakPaper ini mengusulkan metode watermarking yang menggabungkan kuantisasi dither SVD pada nilai koefisien rata-rata IHWT. Citra watermark disisipkan melalui proses kuantisasi dither pada nilai koefisien singular. Skema ini dilakukan untuk memperoleh tingkat ketahanan yang lebih tinggi dari metode sebelumnya yang melakukan kuantisasi dither SVD secara langsung pada nilai piksel citra. Hasil percobaan menunjukkan bahwa metode yang diusulkan mempunyai kualitas citra ter-watermark yang layak diatas 38dB. Metode yang diusulkan mempunyai kinerja lebih baik dari metode sebelumnya dalam hal ketahanan terhadap beberapa serangan citra. Dalam kompresi JPEG dengan Quality Factor 50 dan 70, kompresi JPEG2000 dengan Compression Ratio 5 dan 3, average filtering, dan gaussian filtering, metode sebelumnya menghasilkan nilai Normalized Correlation (NC) rata-rata berturut-turut sebesar 0. 8756, 0.9759, 0.9509, 0.9905, 0.8321, dan 0.9297. Sementara, metode yang diusulkan menghasilkan nilai NC rata-rata yang lebih baik sebesar 0.9730, 0.9884, 0.9844, 0.9963, 0.9020, dan 0.9590 berturut-turut. Kata Kunci: watermarking, SVD, integer wavelet transform, dither quantization

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“…The CRT is able to withstand against light compression and good robustness in additive noise. Moreover, it can be advanced into Discrete Cosine Transform method [5]. Nevertheless, the CRT can cause significant degradation on homogeneous area of the image due to its spread embedding scheme.…”

Section: Introductionmentioning

confidence: 99%

Feature Image Watermarking Based on Bicubic Interpolation of Wavelet Coefficients Using CRT

Adi

Astuti

Subhiyakto

2017

CommIT (Communication and Information Technology) Journal

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Abstract-The main objective of watermarking method is to improve the robustness and imperceptibility. This paper introduces an improved CRT watermarking method using absolute value of interpolated wavelet coefficients aiming to improve the imperceptibility and robustness. The standard CRT method embeds the watermark bits on the blocks of pixels evenly. Hence, it can significantly reduce the quality of watermarked images when the watermark lies on the homogeneous area. Otherwise, the proposed method is embedding the watermark bits on the heterogeneous area by sorting the absolute magnitude of wavelet coefficients descending. The wavelet coefficients are selected from high frequency wavelet sub band HH. This scheme is able to determine the appropriate embedding location in certain range of value. The watermark bits are then embedding on the selected pixel value using CRT scheme. The result shows that the average imperceptibility value the CRT is 0.9980 while the proposed method has average value of 0.9993. On robustness against compression, the proposed method achieves better result compared to the CRT with the average NC values of 0.7916 higher than the CRT value of 0.7530. These prove that the proposed method has better performance in term of imperceptibility and robustness against compression than the CRT method.

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A novel DCT domain CRT-based watermarking scheme for image authentication surviving JPEG compression

Cited by 176 publications

References 34 publications

Increase of stability at jpeg compression of the digital watermarks embedded in still images

Increase of stability at jpeg compression of the digital watermarks embedded in still images

Robust Integer Haar Wavelet Based Watermarking Using Singular Value Decomposition

Feature Image Watermarking Based on Bicubic Interpolation of Wavelet Coefficients Using CRT

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