Blind image watermarking method based on linear canonical wavelet transform and QR decomposition

Guo, Yong; Li, Bing‐Zhao

doi:10.1049/iet-ipr.2015.0818

Cited by 41 publications

(18 citation statements)

References 27 publications

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“…It is widely used in many fields of signal analysis. Wavelet analysis is a frequency analysis method that has been widely used in many fields for feature analysis [19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Research on application of multimedia image processing technology based on wavelet transform

Sui

Kim

2019

J Image Video Proc.

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With the development of information technology, multimedia has become a common information storage technology. The original information query technology has been difficult to adapt to the development of this new technology, so in order to be able to retrieve useful information in a large amount of multimedia information which has become a hot topic in the development of search technology, this paper takes the image in the multimedia information storage technology as the research object, uses the wavelet transform to divide the picture into the advantages of the low-frequency and high-frequency characteristics, and establishes the multimedia processing technology model based on the wavelet transform. The simulation results of face, vehicle, building, and landscape images show that different wavelet basis functions and different layers of images are decomposed, and the retrieval results and retrieval speed of images are different, When taking four layers of wavelet decomposition, the cubic b-spline wavelet as the wavelet basis function makes the classification result optimal, and the accuracy rate is 89.08%.

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“…It is widely used in many fields of signal analysis. Wavelet analysis is a frequency analysis method that has been widely used in many fields for feature analysis [19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Research on application of multimedia image processing technology based on wavelet transform

Sui

Kim

2019

J Image Video Proc.

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“…As the generalisation of the FCT and FST, the fractional cosine transform (FRCT) and fractional sine transform (FRST) were studied recently, and many properties of FRCT and FRST were derived, developed, and established in recent papers [22,23], including the multiplication, differentiation, shifting, and modulation properties. Their applications in filter design, pattern recognition [22,24], image encryption [25][26][27], and digital watermarking in images [28,29] were also discussed.…”

Section: Introductionmentioning

confidence: 99%

Fractional convolution associated with a class of integral equations

Feng

Wang

2020

IET signal process.

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Three kinds of generalised convolution operations of fractional cosine transform and fractional sine transform are investigated, and the corresponding convolution theorems are derived, which can be seen as the generalisation of the classical results. The relationships of these generalised fractional convolution operations are also discussed. Additionally, the potential applications of the derived results in solving two kinds of generalised convolution integral equations are discussed, and the explicit solutions of these convolution-type integral equations are obtained.

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“…It performs an affine mapping of the time frequency distribution of the signal because it has additional degrees of freedom [31,32]. So, the LCT is more flexible and suitable for processing nonstationary signals, particularly in the linear frequency modulated (LFM) signals [33][34][35][36][37]. Simultaneously, the gear vibration signals obtained from the variable speed condition can be approximated to the multicomponent LFM signals within a short period of time.…”

Section: Introductionmentioning

confidence: 99%

Gear Fault Diagnosis in Variable Speed Condition Based on Multiscale Chirplet Path Pursuit and Linear Canonical Transform

Zhang

Chai

et al. 2018

Complexity

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The vibration signals analysis is a very effective and reliable method for detecting the gear failures. Because the vibration signals acquired from the gear in the variable speed condition often contain more useful fault information, the analysis of the gear vibration signals during the variable speed condition has been a hot research topic. In this paper, a method based on the multiscale chirplet path pursuit (MSCPP) and the linear canonical transform (LCT) has been applied to diagnose the gear fault in the variable speed condition for the first time. First, by using the MSCPP method to estimate the instantaneous meshing frequency, the suitable signal segment approximation to the acceleration or deceleration process can be selected. Then, because the LCT is a novel and efficient nonstationary signals analysis tool, the optimal LCT spectrum of the selected signal has been attainted to diagnose the gear faults based on the properties of the LCT. In addition, the simulations and the experimental evaluation are provided to verify the effectiveness of the proposed method.

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Blind image watermarking method based on linear canonical wavelet transform and QR decomposition

Cited by 41 publications

References 27 publications

Research on application of multimedia image processing technology based on wavelet transform

Research on application of multimedia image processing technology based on wavelet transform

Fractional convolution associated with a class of integral equations

Gear Fault Diagnosis in Variable Speed Condition Based on Multiscale Chirplet Path Pursuit and Linear Canonical Transform

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