A wavelet packet and fuzzy based digital image watermarking

Mothi, R.; Karthikeyan, M.

doi:10.1109/iccic.2013.6724292

Cited by 8 publications

(7 citation statements)

References 9 publications

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“…Similarity using Equation 3is used for performance of the robustness. Other watermark algorithms, such as Xia [2] and Cox [6] are also used for comparing performance at the same condition with proposed algorithm.…”

Section: Resultsmentioning

confidence: 99%

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Wavelet Packet and Hybrid Filter Based Digital Watermarking

Han

2015

IJMUE

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In this paper, a new watermark algorithm that based on wavelet packet transform and hybrid filter is proposed for watermark of digital images, which include many high frequency components. The proposed watermark algorithm is used in the high frequency component of image and applies watermark to the overall subband that include the lowest frequency band. And the watermark is embedded on input image and hybrid filtering concept has been adopted to remove the noise that was added to the original image in watermark embedding stage. The quality of the watermarked image has been analyzed with PSNR. From the simulation results, the proposed algorithm shows better invisibility and robustness performance compare with conventional watermark methods. Especially, it demonstrates better robustness for high image compression in the remote sensing images application.

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Section: Resultsmentioning

confidence: 99%

“…Watermark Embedding Process2.2.1. Wavelet Packet Transform of Original Image:First of all, input image is decomposed into wavelet packet using 9-7 tap biorthogonal filter and first-order entropy[6].…”

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confidence: 99%

Wavelet Packet and Hybrid Filter Based Digital Watermarking

Han

2015

IJMUE

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“…This can differentiate the regions of the input image based on the high and low peak values of the edges. The wavelet packet based watermarking [12] is found to be efficient. In this, the energy measure is used for the selection of the sub band of the transformation.…”

Section: Related Worrkmentioning

confidence: 99%

A Novel Approach of Kurtosis based Watermarking by Using Wavelet Transformation

Quadry¹,

Govardhan²,

Misbahuddin³

2018

IJIGSP

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The authentication is used to ensure the authentication of the owner of the data. Currently, the data is available in multimedia format viz., audio, video, image and text. The present paper focuses on the image authentication. The watermarking methods are used for the image authentication. The present paper proposes a novel method of Kurtosis based Watermarking by using Wavelet Transformation (KWWT). The proposed method uses wavelet transformation. Further, the bands or the coefficients are divided into various non overlapped windows. For each of the approximation band windows, the kurtosis value will be estimated. Then the windows in all bands will be selected based on their kurtosis value. Then, the watermark image will be embedded into the selected windows of the bands. Finally, inverse wavelet transformation will be applied to get the resultant watermarked image. The proposed KWWT method is evaluated with 14 input images and 3 watermark images. Various performance measures are estimated and the results show the efficacy of the proposed method.Index Terms-Band, window, watermark and performance measure.

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“…The recognition, feature extraction and monitoring analysis and other technologies of variety of physiological signals including EEG signal has become a hot topic of research in recent years [1]. All kinds of analysis methods such as Fourier transformation [2][3][4], Short Time Fourier transformation [5][6][7],wavelet and wavelet package transformation [8][9][10][11][12], Hilbert-Huang Transformation (HHT) [13][14][15][16][17] and other technologies have been applied to analysis of signal. Fourier transformation is the basic of analysis of time domain and frequency domain for signal, and is very valid to the analysis of periodic stable signal.…”

Section: Introductionmentioning

confidence: 99%

The simulation study of three typical time frequency analysis methods

Zhang

et al. 2017

BIO Web Conf.

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Abstract. The principals and characteristics of three typical time frequency analysis methods that Short Time Furious transformation, wavelet transformation and Hilbert-Huang transformation are introduced, and the mathematical definition, characteristics and application ranges of these analysis methods and so on are pointed out, then their time-frequency local performance is made analysis and comparison through computer programming and simulation.

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A wavelet packet and fuzzy based digital image watermarking

Cited by 8 publications

References 9 publications

Wavelet Packet and Hybrid Filter Based Digital Watermarking

Wavelet Packet and Hybrid Filter Based Digital Watermarking

A Novel Approach of Kurtosis based Watermarking by Using Wavelet Transformation

The simulation study of three typical time frequency analysis methods

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