Research article Special Issues

Zero-watermarking Algorithm for Audio and Video Matching Verification

  • Received: 04 November 2021 Revised: 26 January 2022 Accepted: 06 February 2022 Published: 28 February 2022
  • MSC : 00A69

  • For the needs of tamper-proof detection and copyright identification of audio and video matching, this paper proposes a zero-watermark algorithm that can be used for audio and video matching verification. The algorithm segments audio and video in smaller time units, generates a video frame feature matrix based on NSCT, DCT, and SVD, and generates a sound watermark based on methods such as DWT and K-means. The zero watermark combines video, audio and copyright information. The experimental results show that the zero watermark generated by this algorithm can not only realize highly accurate matching detection and positioning of audio and video, but also well resist common single attack and combination attacks such as noise, scaling, rotation, frame attack and format conversion, which has good robustness.

    Citation: Wenxue Sun, Huiyuan Zhao, Xiao Zhang, Yuchao Sun, Xiaoxin Liu, Xueling Lv, Di Fan. Zero-watermarking Algorithm for Audio and Video Matching Verification[J]. AIMS Mathematics, 2022, 7(5): 8390-8407. doi: 10.3934/math.2022468

    Related Papers:

    [1] Xuyang Cao, Qinglong Wang, Jie Liu . Hopf bifurcation in a predator-prey model under fuzzy parameters involving prey refuge and fear effects. AIMS Mathematics, 2024, 9(9): 23945-23970. doi: 10.3934/math.20241164
    [2] Yu-ting Wu, Heng-you Lan, Chang-jiang Liu . On implicit coupled systems of fuzzy fractional delay differential equations with triangular fuzzy functions. AIMS Mathematics, 2021, 6(4): 3741-3760. doi: 10.3934/math.2021222
    [3] Weili Kong, Yuanfu Shao . The effects of fear and delay on a predator-prey model with Crowley-Martin functional response and stage structure for predator. AIMS Mathematics, 2023, 8(12): 29260-29289. doi: 10.3934/math.20231498
    [4] Naveed Iqbal, Imran Khan, Rasool Shah, Kamsing Nonlaopon . The fuzzy fractional acoustic waves model in terms of the Caputo-Fabrizio operator. AIMS Mathematics, 2023, 8(1): 1770-1783. doi: 10.3934/math.2023091
    [5] Jagdev Singh, Behzad Ghanbari, Ved Prakash Dubey, Devendra Kumar, Kottakkaran Sooppy Nisar . Fractional dynamics and computational analysis of food chain model with disease in intermediate predator. AIMS Mathematics, 2024, 9(7): 17089-17121. doi: 10.3934/math.2024830
    [6] Anil Kumar, Muslim Malik, Mohammad Sajid, Dumitru Baleanu . Existence of local and global solutions to fractional order fuzzy delay differential equation with non-instantaneous impulses. AIMS Mathematics, 2022, 7(2): 2348-2369. doi: 10.3934/math.2022133
    [7] Chuanfu Chai, Yuanfu Shao, Yaping Wang . Analysis of a Holling-type IV stochastic prey-predator system with anti-predatory behavior and Lévy noise. AIMS Mathematics, 2023, 8(9): 21033-21054. doi: 10.3934/math.20231071
    [8] Binfeng Xie, Na Zhang . Influence of fear effect on a Holling type III prey-predator system with the prey refuge. AIMS Mathematics, 2022, 7(2): 1811-1830. doi: 10.3934/math.2022104
    [9] Kimun Ryu, Wonlyul Ko . Stability and bifurcations in a delayed predator-prey system with prey-taxis and hunting cooperation functional response. AIMS Mathematics, 2025, 10(6): 12808-12840. doi: 10.3934/math.2025576
    [10] Wei Ou, Changjin Xu, Qingyi Cui, Yicheng Pang, Zixin Liu, Jianwei Shen, Muhammad Zafarullah Baber, Muhammad Farman, Shabir Ahmad . Hopf bifurcation exploration and control technique in a predator-prey system incorporating delay. AIMS Mathematics, 2024, 9(1): 1622-1651. doi: 10.3934/math.2024080
  • For the needs of tamper-proof detection and copyright identification of audio and video matching, this paper proposes a zero-watermark algorithm that can be used for audio and video matching verification. The algorithm segments audio and video in smaller time units, generates a video frame feature matrix based on NSCT, DCT, and SVD, and generates a sound watermark based on methods such as DWT and K-means. The zero watermark combines video, audio and copyright information. The experimental results show that the zero watermark generated by this algorithm can not only realize highly accurate matching detection and positioning of audio and video, but also well resist common single attack and combination attacks such as noise, scaling, rotation, frame attack and format conversion, which has good robustness.



    In convex functions theory, Hermite-Hadamard inequality is very important which was discovered by C. Hermite and J. Hadamard independently (see, also [1], and [2,p.137])

    F(π1+π22)1π2π1π2π1F(ϰ)dϰF(π1)+F(π2)2, (1.1)

    whereF is a convex function. In the case of concave mappings, the above inequality is satisfied in reverse order.

    Over the last twenty years, numerous studies have focused on obtaining trapezoid and midpoint type inequalities which give bounds for the right-hand side and left-hand side of the inequality (1.1), respectively. For example, the authors first obtained trapezoid and midpoint type inequalities for convex functions in [3] and in [4], respectively. In [5], Sarikaya et al. obtained the inequalities (1.1) for Riemann-Liouville fractional integrals and the authors also proved some corresponding trapezoid type inequalities for fractional integrals. Iqbal et al. presented some fractional midpoint type inequalities for convex functions in [6]. Sarikaya and Ertuğral [7] introduced the notions of generalized fractional integrals and proved some Hermite-Hadamard type inequalities for convex functions. In [8], Budak et al. used the generalized fractional integrals to prove Hermite-Hadamard type inequalities for twice differentiable convex functions. After that, the authors used generalized fractional integrals and proved the different variants of integral inequalities in [9,10,11,12,13,14].

    On the other hand, İşcan [15] defined the following class of functions called harmonically convex functions:

    If the mapping F:IR{0}R satisfies the inequality

    F(1σϰ+1σy)σF(ϰ)+(1σ)F(y),

    for all ϰ,yI and σ[0,1], then F is called harmonically convex function. In the case of harmonically concave mappings, the above inequality is satisfied in reverse order.

    It is worth noting that the harmonic feature has been important in a variety of disciplines in pure and applied sciences. The authors explore the significance of the harmonic mean in Asian stock company [16]. Harmonic methods are used in electric circuit theory, which is interesting. The overall resistance of a set of parallel resistors is just half of the entire resistors' harmonic mean. If r1 and r2 are the resistances of two parallel resistors, the total resistance may be calculated using the following formula:

    rσ=r1r2r1+r2=12H(r1,r2),

    which is the half of the harmonic mean.

    The harmonic mean, according to Noor [17], is also important in the creation of parallel algorithms for solving nonlinear problems. Several researchers have proposed iterative approaches for solving linear and nonlinear systems of equations using harmonic means and harmonically convex functions.

    Several research articles have recently been published on various generalizations of integral inequalities using various approaches. For example, İşcan established some new Hermite-Hadamard type inequalities for harmonically convex functions and trapezoid type inequalities for this class of functions in [15]. In [18], İ şcan and Wu established Hermite-Hadamard type inequalities for harmonically convex functions via Riemann-Liouville fractional integrals. They also proved some fractional trapezoid type inequalities for mapping whose derivatives in absolute value are harmonically convex. İşcan proved Ostrowski type integral inequalities for harmonically s-convex functions in [19] and in [20], Chen gave an extension of fractional Hermite-Hadamard type inequalities for harmonically convex functions. Kunt et al. [21] and Set et al. [22] used the Riemann-Liouville fractional integrals and proved Hermite-Hadamard type inequalities for harmonically convex functions. In [23], Șanlı proved several fractional midpoint type inequalities utilizing differentiable convex functions. The authors used the generalized fractional integrals and proved Hermite-Hadamard type inequalities for harmonically convex functions in [24,25]. Mohsen et al. [26] used the h- harmonically convexity to prove some new Ostrowski type inequalities and in [27], Akhtar et al. proved a new variant of Ostrowski inequalities for harmonically convex functions. In the literature there are several papers on the inequalities for harmonically convex functions. For some recent developments in integral inequalities and harmonically convexity, one can consult [28,29,30].

    Inspired by the ongoing studies, we use the generalized fractional integrals to develop some new Ostrowski type inequalities for differentiable harmonically convex functions. We also show that the newly developed inequalities are extensions of some previously known inequalities.

    The following is the structure of this paper: Section 2 provides a brief overview of the fractional calculus as well as other related studies in this field. In Section 3, we establish Ostrowski type inequalities for differentiable functions. The relationship between the findings reported here and similar findings in the literature are also taken into account. We discuss the special cases of newly established inequalities in Section 4 and obtain several new Ostrowski type inequalities. We give some applications to special means of real numbers in Section 5. Section 6 concludes with some recommendations for future research.

    In this section, we recall some basic concepts of fractional integrals and related integral inequalities.

    Definition 2.1. [7] The left and right-sided generalized fractional integrals given as follows:

    π1+IφF(ϰ)=ϰπ1φ(ϰσ)ϰσF(σ)dσ,  ϰ>π1, (2.1)
    π2IφF(ϰ)=π2ϰφ(σϰ)σϰF(σ)dσ,  ϰ<π2, (2.2)

    where the function φ:[0,)[0,) satisfies 10φ(σ)σdσ<. For the details about the genrarlized fractional integrals, one can consult [7].

    The most important feature of the generalized fractional integrals is that they generalize some types of fractional integrals such as Riemann-Liouville fractional integral, k-Riemann-Liouville fractional integral, Katugampola fractional integrals, conformable fractional integral, Hadamard fractional integrals, etc. Few important special cases of the integral operators (2.1) and (2.2) are mentioned below.

    i) Taking φ(σ)=σ, the operators (2.1) and (2.2) reduces to the classical Riemann integrals as follows:

    Iπ+1F(ϰ)=ϰπ1F(σ)dσ,ϰ>π1,
    Iπ2F(ϰ)=π2ϰF(σ)dσ,  ϰ<π2.

    ii) Taking φ(σ)=σαΓ(α), the operators (2.1) and (2.2) reduces to the well-known Riemann–Liouville fractional integrals as follows:

    Jαπ+1F(ϰ)=1Γ(α)ϰπ1(ϰσ)α1F(σ)dσ,  ϰ>π1,
    Jαπ2F(ϰ)=1Γ(α)π2ϰ(σϰ)α1F(σ)dσ,  ϰ<π2.

    iii) Taking φ(σ)=σαkkΓk(α), the operators (2.1) and (2.2) reduces to the well-known k–Riemann–Liouville fractional integrals as follows:

    Jα,kπ1+F(ϰ)=1kΓk(α)ϰπ1(ϰσ)αk1F(σ)dσ,  ϰ>π1,
    Jα,kπ2F(ϰ)=1kΓk(α)π2ϰ(σϰ)αk1F(σ)dσ,  ϰ<π2,

    where

    Γk(α)=0σα1eσkkdσ,   R(α)>0

    and

    Γk(α)=kαk1Γ(αk),  R(α)>0;k>0.

    Recently, Zhao et al. used the generalized fractional integrals and proved the following Hermite-Hadamard type inequalities.

    Theorem 2.2. [25] For any harmonically convex mapping, the following inequalityholds:

    F(2π1π2π1+π2)12Φ(1){Jα1π1(Fg)(1π2)+Jα1π2+(Fg)(1π1)}F(π1)+F(π2)2, (2.3)

    where g(ϰ)=1ϰ and Φ(σ)=σ0φ(π2π1π1π2s)sds<+.

    Remark 2.3. It is obvious that if we set φ(σ)=σ in inequality (2.3), then we obtain the following inequality of Hermite-Hadamard type inequality (see, [15]):

    F(2π1π2π1+π2)π1π2π2π1π2π1F(ϰ)dϰF(π1)+F(π2)2.

    Remark 2.4. It is obvious that if we set φ(σ)=σαΓ(α) in inequality (2.3), then we obtain the following inequality of Hermite-Hadamard type inequality for Riemann-Liouville fractional integrals (see, [18]):

    F(2π1π2π1+π2)Γ(α+1)2(π1π2π2π1)α{Jα1π1(Fg)(1π2)+Jα1π2+(Fg)(1π1)}F(π1)+F(π2)2.

    Remark 2.5. It is obvious that if we set φ(σ)=σαkkΓk(α) in inequality (2.3), then we obtain the following inequality of Hermite-Hadamard type inequality for k-Riemann Liouville fractional integrals (see, [25]):

    F(2π1π2π1+π2)kΓk(α+k)2(π1π2π2π1)αk{Jα,k1π1(Fg)(1π2)+Jα,k1π2+(Fg)(1π1)}F(π1)+F(π2)2.

    In this section, we prove some new Ostrowski type inequalities for differentiable harmonically convex functions via the generalized fractional integrals. For brevity, we give the following special functions:

    (1) The Beta function:

    β(ϰ,y)=Γ(ϰ)Γ(y)Γ(ϰ+y)=10σϰ1(1σ)y1dσ, ϰ,y>0.

    (2) The hypergeometric function:

    2F1(π1,π2;c;z)=1β(π2,cπ2)10σπ21(1σ)cπ21(1zσ)αdσ, c>π2>0, |z|<1.

    Lemma 3.1. Let F:I=[π1,π2](0,+)R be a differentiable function on I such that FL([π1,π2]). Then, the following generalized fractional integrals identity holds for all ϰ(π1,π2):

    π1ϰ(ϰπ1)10Δ(σ)(σπ1+(1σ)ϰ)2F(π1ϰσπ1+(1σ)ϰ)dσϰπ2(π2ϰ)10Λ(σ)(σπ2+(1σ)ϰ)2F(π2ϰσπ2+(1σ)ϰ)dσ=(Δ(1)+Λ(1))F(ϰ)[1ϰ+Iφ(Fg)(1π1)+1ϰIφ(Fg)(1π2)], (3.1)

    where the mappings Δ and Λ are defined as:

    Δ(σ)=σ0φ(ϰπ1π1ϰs)sds<+,

    and

    Λ(σ)=σ0φ(π2ϰπ2ϰs)sds<+.

    Proof. Consider

    π1ϰ(ϰπ1)10Δ(σ)(σπ1+(1σ)ϰ)2F(π1ϰσπ1+(1σ)ϰ)dσϰπ2(π2ϰ)10Λ(σ)(σπ2+(1σ)ϰ)2F(π2ϰσπ2+(1σ)ϰ)dσ=I1I2. (3.2)

    From fundamentals of integrations, we have

    I1=π1ϰ(ϰπ1)10Δ(σ)(σπ1+(1σ)ϰ)2F(π1ϰσπ1+(1σ)ϰ)dσ=10Δ(σ)dF(π1ϰσπ1+(1σ)ϰ)dσ=Δ(1)F(ϰ)10φ((ϰπ1)π1ϰσ)σF(π1ϰσπ1+(1σ)ϰ)dσ=Δ(1)F(ϰ)1ϰ+Iφ(Fg)(1π1).

    Similarly, we have

    I2=ϰπ2(π2ϰ)10Λ(σ)(σπ2+(1σ)ϰ)2F(π2ϰσπ2+(1σ)ϰ)dσ=Λ(1)F(ϰ)+1ϰIφ(Fg)(1π2).

    Thus, we obtain the required identity (3.1) by using the calculated values of I1 and I2 in (3.2).

    Remark 3.2. If we set φ(σ)=σ in Lemma 3.1, then we obtain the following equality:

    π1π2π2π1{(ϰπ1)210σ(σπ1+(1σ)ϰ)2F(π1ϰσπ1+(1σ)ϰ)dσ(π2ϰ)210σ(σπ2+(1σ)ϰ)2F(π2ϰσπ2+(1σ)ϰ)dσ}=F(ϰ)π1π2π2π1π2π1F(u)u2du.

    This is proved by İşcan in [19,Lemma 2.1].

    Remark 3.3. In Lemma 3.1, if we set φ(σ)=σαΓ(α), then we have the following equality for Riemann-Liouville fractional integrals:

    (ϰπ1)α+1(π1ϰ)α110σα(σπ1+(1σ)ϰ)2F(π1ϰσπ1+(1σ)ϰ)dσ(π2ϰ)α+1(ϰπ2)α110σα(σπ2+(1σ)ϰ)2F(π2ϰσπ2+(1σ)ϰ)dσ=[(ϰπ1π1ϰ)α+(π2ϰπ2ϰ)α]F(ϰ)Γ(α+1)[1ϰ+Jα(Fg)(1π1)+1ϰJα(Fg)(1π2)].

    This is proved by İşcan in [31].

    Corollary 3.4. In Lemma 3.1, if we set φ(σ)=σαkkΓ(α), then we have thefollowing new equality for k-Riemann-Liouville fractional integrals:

    (ϰπ1)α+kk(π1ϰ)αkk10σαk(σπ1+(1σ)ϰ)2F(π1ϰσπ1+(1σ)ϰ)dσ(π2ϰ)α+kk(ϰπ2)αkk10σαk(σπ2+(1σ)ϰ)2F(π2ϰσπ2+(1σ)ϰ)dσ=[(ϰπ1π1ϰ)αk+(π2ϰπ2ϰ)αk]F(ϰ)Γk(α+k)[1ϰ+Jα,k(Fg)(1π1)+1ϰJα,k(Fg)(1π2)].

    Theorem 3.5. We assume that the conditions of Lemma 3.1 are valid. If |F|q is harmonicallyconvex on [π1,π2] for some q1, then the followinginequality holds for the generalized fractional integrals:

    |(Δ(1)+Λ(1))F(ϰ)[1ϰ+Iφ(Fg)(1π1)+1ϰIφ(Fg)(1π2)]|π1ϰ(ϰπ1)Θ11q1(Θ2|F(ϰ)|q+Θ3|F(π1)|q)1q+π2ϰ(π2ϰ)Θ11q4(Θ5|F(ϰ)|q+Θ6|F(π2)|q)1q,

    where

    Θ1=10Δ(σ)(σπ1+(1σ)ϰ)2dσ,Θ2=10σΔ(σ)(σπ1+(1σ)ϰ)2dσ,Θ3=10(1σ)Δ(σ)(σπ1+(1σ)ϰ)2dσ,Θ4=10Λ(σ)(σπ2+(1σ)ϰ)2dσ,Θ5=10σΛ(σ)(σπ2+(1σ)ϰ)2dσ,

    and

    Θ6=10(1σ)Λ(σ)(σπ2+(1σ)ϰ)2dσ.

    Proof. Taking absolute in Lemma 3.1 and then applying the well known power mean inequality, we have

    |(Δ(1)+Λ(1))F(ϰ)[1ϰ+Iφ(Fg)(1π1)+1ϰIφ(Fg)(1π2)]|π1ϰ(ϰπ1)10Δ(σ)(σπ1+(1σ)ϰ)2|F(π1ϰσπ1+(1σ)ϰ)|dσ+π2ϰ(π2ϰ)10Λ(σ)(σπ2+(1σ)ϰ)2|F(π2ϰσπ2+(1σ)ϰ)|dσπ1ϰ(ϰπ1)(10Δ(σ)(σπ1+(1σ)ϰ)2dσ)11q×(10Δ(σ)(σπ1+(1σ)ϰ)2|F(π1ϰσπ1+(1σ)ϰ)|qdσ)1q+π2ϰ(π2ϰ)(10Λ(σ)(σπ2+(1σ)ϰ)2dσ)11q×(10Λ(σ)(σπ2+(1σ)ϰ)2|F(π2ϰσπ2+(1σ)ϰ)|qdσ)1q.

    Now from harmonically convexity of |F|q, we have

    (10Δ(σ)(σπ1+(1σ)ϰ)2dσ)11q(10Δ(σ)(σπ1+(1σ)ϰ)2|F(π1ϰσπ1+(1σ)ϰ)|qdσ)1qΘ11q1(|F(ϰ)|q10σΔ(σ)(σπ1+(1σ)ϰ)2dσ+|F(π1)|q10(1σ)Δ(σ)(σπ1+(1σ)ϰ)2dσ)1q=Θ11q1(Θ2|F(ϰ)|q+Θ3|F(π1)|q)1q.

    and

    (10Λ(σ)(σπ2+(1σ)ϰ)2dσ)11q(10Λ(σ)(σπ2+(1σ)ϰ)2|F(π2ϰσπ2+(1σ)ϰ)|qdσ)1qΘ11q4(|F(ϰ)|q10σΛ(σ)(σπ2+(1σ)ϰ)2dσ+|F(π2)|q10(1σ)Λ(σ)(σπ2+(1σ)ϰ)2dσ)1q=Θ11q4(Θ5|F(ϰ)|q+Θ6|F(π2)|q)1q.

    Thus, the proof is completed.

    Remark 3.6. In Theorem 3.5, if we assume φ(σ)=σ, then we have the following Ostrowski type inequalities:

    |F(ϰ)π1π2π2π1π2π1F(u)u2du|π1π2π2π1{χ11q1(π1,ϰ)(ϰπ1)2(χ2(π1,ϰ,1,1)|F(ϰ)|q+χ3(π1,ϰ,1,1)|F(π1)|q)1q+χ11q1(π2,ϰ)(π2ϰ)2(χ4(π2,ϰ,1,1)|F(ϰ)|q+χ5(π2,ϰ,1,1)|F(π2)|q)1q},

    where

    χ1(υ,ϰ)=1ϰν[1υlnϰlnυϰυ],χ2(π1,ϰ,υ,μ)=β(μ+2,1)ϰ2υ2F1(2υ,μ+2;μ+3;1π1ϰ),χ3(π1,ϰ,υ,μ)=β(μ+1,1)ϰ2υ2F1(2υ,μ+1;μ+3;1π1ϰ),χ4(π2,ϰ,υ,μ)=β(1,μ+2)π2υ22F1(2υ,1;μ+3;1ϰπ2),χ5(π2,ϰ,υ,μ)=β(2,μ+1)π2υ22F1(2υ,2;μ+3;1ϰπ2).

    This is proved by İşcan in [19,Theorem 2.4 for s=1].

    Corollary 3.7. In Theorem 3.5, if we set |F(ϰ)|M, ϰ[π1,π2], then we obtain the following Ostrowski typeinequality for generalized fractional integrals:

    |(Δ(1)+Λ(1))F(ϰ)[1ϰ+Iφ(Fg)(1π1)+1ϰIφ(Fg)(1π2)]|M{π1ϰ(ϰπ1)Θ11q1(Θ2+Θ3)1q+π2ϰ(π2ϰ)Θ11q4(Θ5+Θ6)1q}.

    Remark 3.8. In Theorem 3.5, if we set φ(σ)=σαΓ(α), then we obtain the following Ostrowski type inequality for Riemann-Liouville fractional integrals:

    |[(ϰπ1π1ϰ)α+(π2ϰπ2ϰ)α]F(ϰ)+Γ(α+1)[1ϰ+Jα(Fg)(1π1)+1ϰJα(Fg)(1π2)]|(ϰπ1)α+1(π1ϰ)α1Ω11q1(π1,ϰ,α)(Ω3(π1,ϰ,α)|F(ϰ)|q+Ω4(π1,ϰ,α)|F(π1)|q)1q+(π2ϰ)α+1(π2ϰ)α1Ω11q2(π2,ϰ,α)(Ω5(π2,ϰ,α)|F(ϰ)|q+Ω6(π2,ϰ,α)|F(π2)|q)1q,

    where

    Ω1(π1,ϰ,α)=ϰ22F1(2,α+1;α+2;1π1ϰ),Ω2(π2,ϰ,α)=π222F1(2,1;α+2;1ϰπ2)Ω3(π1,ϰ,α)=β(α+2,1)ϰ22F1(2,α+2;α+3;1π1ϰ),Ω4(π1,ϰ,α)=Ω1(π1,ϰ,α)Ω3(π1,ϰ,α),Ω5(π2,ϰ,α)=β(1,α+2)π222F1(2,1;α+3;1ϰπ2),Ω6(π2,ϰ,α)=Ω2(π2,ϰ,α)Ω5(π2,ϰ,α).

    This is proved by İşcan in [31].

    Corollary 3.9. In Theorem 3.5, if we set φ(σ)=σαkkΓk(α), then we obtain the followingnew Ostrowski type inequality for k-Riemann-Liouville fractional integrals:

    |[(ϰπ1π1ϰ)αk+(π2ϰπ2ϰ)αk]F(ϰ)+Γk(α+k)[1ϰ+Jα,k(Fg)(1π1)+1ϰJα,k(Fg)(1π2)]|(ϰπ1)α+kk(π1ϰ)αkkΩ11q1(π1,ϰ,αk)(Ω3(π1,ϰ,αk)|F(ϰ)|q+Ω4(π1,ϰ,αk)|F(π1)|q)1q+(π2ϰ)α+kk(π2ϰ)αkkΩ11q2(π2,ϰ,αk)(Ω5(π2,ϰ,αk)|F(ϰ)|q+Ω6(π2,ϰ,αk)|F(π2)|q)1q,

    where

    Ω1(π1,ϰ,αk)=ϰ22F1(2,αk+1;αk+2;1π1ϰ),Ω2(π2,ϰ,αk)=π222F1(2,1;αk+2;1ϰπ2)Ω3(π1,ϰ,αk)=β(αk+2,1)ϰ22F1(2,αk+2;αk+3;1π1ϰ),Ω4(π1,ϰ,αk)=Ω1(π1,ϰ,αk)Ω3(π1,ϰ,αk),Ω5(π2,ϰ,αk)=β(1,αk+2)π222F1(2,1;αk+3;1ϰπ2),Ω6(π2,ϰ,αk)=Ω2(π2,ϰ,αk)Ω5(π2,ϰ,αk).

    Theorem 3.10. We assume that the conditions of Lemma 3.1 are valid. If |F|q is harmonicallyconvex on [π1,π2] for some q>1, then the followinginequality holds for the generalized fractional integrals:

    |(Δ(1)+Λ(1))F(ϰ)[1ϰ+Iφ(Fg)(1π1)+1ϰIφ(Fg)(1π2)]|π1ϰ(ϰπ1)Θ1p7(|F(ϰ)|q+|F(π1)|q2)1q+π2ϰ(π2ϰ)Θ1p8(|F(ϰ)|q+|F(π2)|q2)1q,

    where 1p+1q=1 and

    Θ7=10(Δ(σ)(σπ1+(1σ)ϰ)2)pdσ,Θ8=10(Λ(σ)(σπ2+(1σ)ϰ)2)pdσ.

    Proof. From Lemma 3.1 and applying well-known Hölder's inequality, we have

    |(Δ(1)+Λ(1))F(ϰ)[1ϰ+Iφ(Fg)(1π1)+1ϰIφ(Fg)(1π2)]|π1ϰ(ϰπ1)10Δ(σ)(σπ1+(1σ)ϰ)2|F(π1ϰσπ1+(1σ)ϰ)|dσ+π2ϰ(π2ϰ)10Λ(σ)(σπ2+(1σ)ϰ)2|F(π2ϰσπ2+(1σ)ϰ)|dσπ1ϰ(ϰπ1)(10(Δ(σ)(σπ1+(1σ)ϰ)2)pdσ)1p(10|F(π1ϰσπ1+(1σ)ϰ)|qdσ)1q+π2ϰ(π2ϰ)(10(Λ(σ)(σπ2+(1σ)ϰ)2)pdσ)1p(10|F(π2ϰσπ2+(1σ)ϰ)|qdσ)1q.

    Now from harmonically convexity of |F|q, we have

    (10(Δ(σ)(σπ1+(1σ)ϰ)2)pdσ)1p(10|F(π1ϰσπ1+(1σ)ϰ)|qdσ)1qΘ1p7(|F(ϰ)|q10σdσ+|F(π1)|q10(1σ)dσ)1q=Θ1p7(|F(ϰ)|q+|F(π1)|q2)1q.

    and

    (10(Λ(σ)(σπ2+(1σ)ϰ)2)pdσ)1p(10|F(π2ϰσπ2+(1σ)ϰ)|qdσ)1qΘ1p8(|F(ϰ)|q10σdσ+|F(π2)|q10(1σ)dσ)1q=Θ1p8(|F(ϰ)|q+|F(π2)|q2)1q.

    Thus, the proof is completed.

    Remark 3.11. In Theorem 3.10, if we set φ(σ)=σ, then we obtain the following Ostrowski type inequality:

    |F(ϰ)π1π2π2π1π2π1F(u)u2du|π1π2π2π1{(χ2(π1,ϰ,υ,μ))1p(ϰπ1)2(|F(ϰ)|q+|F(π1)|q2)1q+(χ4(π2,ϰ,υ,μ))1p(π2ϰ)2(|F(ϰ)|q+|F(π2)|q2)1q},

    where

    χ2(π1,ϰ,υ,μ)=β(μ+1,1)ϰ2υ2F1(2υ,μ+1;μ+2;1π1ϰ),χ4(π2,ϰ,υ,μ)=β(1,μ+1)π2υ22F1(2υ,1;μ+2;1ϰπ2).

    This is proved by İşcan in [19,Theorem 2.6 for s=1].

    Corollary 3.12. In Theorem 3.5, if we set |F(ϰ)|M, ϰ[π1,π2], then we obtain the following Ostrowski typeinequality for generalized fractional integrals:

    |(Δ(1)+Λ(1))F(ϰ)[1ϰ+Iφ(Fg)(1π1)+1ϰIφ(Fg)(1π2)]|M{π1ϰ(ϰπ1)Θ1p7+π2ϰ(π2ϰ)Θ1p8}.

    Remark 3.13. In Theorem 3.10, if we set φ(σ)=σαΓ(α), then we obtain the following Ostrowski type inequalities for Riemann-Liouville fractional integrals:

    |[(ϰπ1π1ϰ)α+(π2ϰπ2ϰ)α]F(ϰ)+Γ(α+1)[1ϰ+Jα(Fg)(1π1)+1ϰJα(Fg)(1π2)]|(ϰπ1)α+1(π1ϰ)α1Ω1p7(π1,ϰ,α,p)(|F(ϰ)|q+|F(π1)|q2)1q+(π2ϰ)α+1(π2ϰ)α1Ω1p7(π2,ϰ,α,p)(|F(ϰ)|q+|F(π2)|q2)1q,

    where

    Ω7(υ,ϰ,α,p)=ϰ2αp+12F1(2p,αp+1;αp+2;1υϰ).

    This is proved by İşcan in [31].

    Corollary 3.14. In Theorem 3.5, if we set φ(σ)=σαkkΓk(α), then we obtain the followingnew Ostrowski type inequality for k-Riemann-Liouville fractional integrals:

    |[(ϰπ1π1ϰ)αk+(π2ϰπ2ϰ)αk]F(ϰ)+Γk(α+k)[1ϰ+Jα,k(Fg)(1π1)+1ϰJα,k(Fg)(1π2)]|(ϰπ1)α+kk(π1ϰ)αkkΩ1p7(π1,ϰ,αk,p)(|F(ϰ)|q+|F(π1)|q2)1q+(π2ϰ)α+kk(π2ϰ)αkkΩ1p7(π2,ϰ,αk,p)(|F(ϰ)|q+|F(π2)|q2)1q,

    where

    Ω7(υ,ϰ,αk,p)=kϰ2αp+k2F1(2p,αp+kk;αp+2kk;1υϰ).

    In this section, we discuss more special cases of the results proved in the last section.

    Remark 4.1. In Corollary 3.7, if we set φ(σ)=σ, then we obtain the following Ostrowski type inequality:

    |F(ϰ)π1π2π2π1π2π1F(u)u2du|Mπ1π2π2π1{χ11q1(π1,ϰ)(ϰπ1)2(χ2(π1,ϰ,1,1)+χ3(π1,ϰ,1,1))1q+χ11q1(π2,ϰ)(π2ϰ)2(χ4(π2,ϰ,1,1)+χ5(π2,ϰ,1,1))1q}. (4.1)

    This is proved by İşcan in [19,Corollary 2.3 for s=1].

    Remark 4.2. In Corollary 3.7, if we set φ(σ)=σαΓ(α), then we obtain the following Ostrowski type inequality for Riemann-Liouville fractional integrals:

    |[(ϰπ1π1ϰ)α+(π2ϰπ2ϰ)α]F(ϰ)+Γ(α+1)[1ϰ+Jα(Fg)(1π1)+1ϰJα(Fg)(1π2)]|M[(ϰπ1)α+1(π1ϰ)α1Ω11q1(π1,ϰ,α)(Ω3(π1,ϰ,α)+Ω4(π1,ϰ,α))1q+(π2ϰ)α+1(π2ϰ)α1Ω11q2(π2,ϰ,α)(Ω5(π2,ϰ,α)+Ω6(π2,ϰ,α))1q].

    This is proved by İşcan in [31].

    Remark 4.3. In Corollary 3.7, if we set φ(σ)=σαkkΓk(α), then we obtain the following new Ostrowski type inequality for k-Riemann-Liouville fractional integrals:

    |[(ϰπ1π1ϰ)αk+(π2ϰπ2ϰ)αk]F(ϰ)+Γk(α+k)[1ϰ+Jα,k(Fg)(1π1)+1ϰJα,k(Fg)(1π2)]|M[(ϰπ1)α+kk(π1ϰ)αkkΩ11q1(π1,ϰ,αk)(Ω3(π1,ϰ,αk)+Ω4(π1,ϰ,αk))1q+(π2ϰ)α+kk(π2ϰ)αkkΩ11q2(π2,ϰ,αk)(Ω5(π2,ϰ,αk)+Ω6(π2,ϰ,αk))1q].

    Remark 4.4. In Corollary 3.12, if we set φ(σ)=σ, then we obtain the following Ostrowski type inequality:

    |F(ϰ)π1π2π2π1π2π1F(u)u2du|Mπ1π2π2π1{(χ2(π1,ϰ,υ,μ))1p(ϰπ1)2+(χ4(π2,ϰ,υ,μ))1p(π2ϰ)2}. (4.2)

    This is proved by İşcan in [19,Corollary 2.5 for s=1].

    Remark 4.5. In Corollary 3.12, if we set φ(σ)=σαΓ(α), then we obtain the following Ostrowski type inequality for Riemann-Liouville fractional integrals:

    |[(ϰπ1π1ϰ)α+(π2ϰπ2ϰ)α]F(ϰ)+Γ(α+1)[1ϰ+Jα(Fg)(1π1)+1ϰJα(Fg)(1π2)]|M[(ϰπ1)α+1(π1ϰ)α1Ω1p7(π1,ϰ,α,p)+(π2ϰ)α+1(π2ϰ)α1Ω1p7(π2,ϰ,α,p)].

    This is proved by İşcan in [31].

    Remark 4.6. In Corollary 3.12, if we set φ(σ)=σαkkΓk(α), then we obtain the following new Ostrowski type inequality for k-Riemann-Liouville fractional integrals:

    |[(ϰπ1π1ϰ)αk+(π2ϰπ2ϰ)αk]F(ϰ)+Γk(α+k)[1ϰ+Jα,k(Fg)(1π1)+1ϰJα,k(Fg)(1π2)]|M[(ϰπ1)α+kk(π1ϰ)αkkΩ1p7(π1,ϰ,αk,p)+(π2ϰ)α+kk(π2ϰ)αkkΩ1p7(π2,ϰ,αk,p)].

    Remark 4.7. If we set q=1 in Theorem 3.5 and Corollaries 3.7–3.14, then we obtain some new Ostrowski type inequlities for the harmonically convexity of |F|. Moreover, for different choices of φ in the generalized fractional integrals, one can obtain several Ostrowski type inequalities via Katugampola fractional integrals, conformable fractional integral, Hadamard fractional integrals, etc.

    For arbitrary positive numbers π1,π2(π1π2), we consider the means as follows:

    (1) The arithmatic mean

    A=A(π1,π2)=π1+π22.

    (2) The geometric mean

    G=G(π1,π2)=π1π2.

    (3) The harmonic means

    H=H(π1,π2)=2π1π2π1+π2.

    (4) The logarithmic mean

    L=L(π1,π2)=π2π1lnπ2lnπ1.

    (5) The generalize logarithmic mean

    Lp=Lp(π1,π2)=[π2π1(π2π1)(p+1)]1p,pR{1,0}.

    (6) The identric mean

    I=I(π1,π2)={1e(π2π1)1π2π1, if π1π2,π1,              if π1=π2,π1,π2>0.

    These means are often employed in numerical approximations and other fields. However, the following straightforward relationship has been stated in the literature.

    HGLIA.

    Proposition 5.1. For π1,π2(0,) with π1<π2, then the following inequality holds:

    |A(π1,π2)G2(π1,π2)L(π1,π2)|MG2(π1,π2)(π2π1)4×{χ11q1(π1,A(π1,π2))(χ2(π1,A(π1,π2),1,1)+χ3(π1,A(π1,π2),1,1))1q+χ11q1(π2,A(π1,π2))(χ4(π2,A(π1,π2),1,1)+χ5(π2,A(π1,π2),1,1))1q}.

    Proof. The inequality (4.1) with ϰ=π1+π22 for mapping F:(0,)R, F(ϰ)=ϰ leads to this conclusion.

    Proposition 5.2. For π1,π2(0,) with π1<π2, then the following inequality holds:

    |H(π1,π2)G2(π1,π2)L(π1,π2)|MG2(π1,π2)π2π1×{χ11q1(π1,H(π1,π2))(G2(π1,π2)π212A(π1,π2))2(χ2(π1,H(π1,π2),1,1)+χ3(π1,H(π1,π2),1,1))1q+χ11q1(π2,H(π1,π2))(π22G2(π1,π2)2A(π1,π2))2(χ4(π2,H(π1,π2),1,1)+χ5(π2,H(π1,π2),1,1))1q}.

    Proof. The inequality (4.1) with ϰ=2π1π2π1+π2 for mapping F:(0,)R, F(ϰ)=ϰ leads to this conclusion.

    Proposition 5.3. For π1,π2(0,) with π1<π2, then the following inequality holds:

    |Ap+2(π1,π2)G2(π1,π2)Lpp(π1,π2)|MG2(π1,π2)(π2π1)4×{χ11q1(π1,A(π1,π2))(χ2(π1,A(π1,π2),1,1)+χ3(π1,A(π1,π2),1,1))1q+χ11q1(π2,A(π1,π2))(χ4(π2,A(π1,π2),1,1)+χ5(π2,A(π1,π2),1,1))1q}.

    Proof. The inequality (4.1) with ϰ=π1+π22 for mapping F:(0,)R, F(ϰ)=ϰp+2,p(1,){0} leads to this conclusion.

    Proposition 5.4. For π1,π2(0,) with π1<π2, then the following inequality holds:

    |Hp+2(π1,π2)G2(π1,π2)Lpp(π1,π2)|MG2(π1,π2)π2π1×{χ11q1(π1,H(π1,π2))(G2(π1,π2)π212A(π1,π2))2(χ2(π1,H(π1,π2),1,1)+χ3(π1,H(π1,π2),1,1))1q+χ11q1(π2,H(π1,π2))(π22G2(π1,π2)2A(π1,π2))2(χ4(π2,H(π1,π2),1,1)+χ5(π2,H(π1,π2),1,1))1q}.

    Proof. The inequality (4.1) with ϰ=2π1π2π1+π2 for mapping F:(0,)R, F(ϰ)=ϰp+2, p(1,){0} leads to this conclusion.

    Proposition 5.5. For π1,π2(0,) with π1<π2, then the following inequality holds:

    |A2(π1,π2)ln(A(π1,π2))G2(π1,π2)ln(I(π1,π2))|MG2(π1,π2)(π2π1)4×{χ11q1(π1,A(π1,π2))(χ2(π1,A(π1,π2),1,1)+χ3(π1,A(π1,π2),1,1))1q+χ11q1(π2,A(π1,π2))(χ4(π2,A(π1,π2),1,1)+χ5(π2,A(π1,π2),1,1))1q}.

    Proof. The inequality (4.1) with ϰ=π1+π22 for mapping F:(0,)R, F(ϰ)=ϰ2lnϰ, leads to this conclusion.

    Proposition 5.6. For π1,π2(0,) with π1<π2, then the following inequality holds:

    |H2(π1,π2)ln(H(π1,π2))G2(π1,π2)ln(I(π1,π2))|MG2(π1,π2)π2π1×{χ11q1(π1,H(π1,π2))(G2(π1,π2)π212A(π1,π2))2(χ2(π1,H(π1,π2),1,1)+χ3(π1,H(π1,π2),1,1))1q+χ11q1(π2,H(π1,π2))(π22G2(π1,π2)2A(π1,π2))2(χ4(π2,H(π1,π2),1,1)+χ5(π2,H(π1,π2),1,1))1q}.

    Proof. The inequality (4.1) with ϰ=2π1π2π1+π2 for mapping F:(0,)R, F(ϰ)=ϰ2lnϰ leads to this conclusion.

    In this paper, we have proved several new Ostrowski type inequalities for differentiable harmonically convex functions via the generalized fractional integrals. Moreover, we have proved that the established inequalities are the extensions of some existing inequalities in the literature. It is an interesting and new problem that the upcoming researchers can offer similar inequalities for different type of harmonically and co-ordinated harmonically convexity.

    This research was funded by King Mongkut's University of Technology North Bangkok. Contract No. KMUTNB-63-KNOW-22.

    The authors declare no conflict of interest.



    [1] H. Agarwal, F. Husain, Development of payload capacity enhanced robust video watermarking scheme based on symmetry of circle using lifting wavelet transform and SURF, J. Inf. Secur. Appl., 59 (2021), 102846. https://doi.org/10.1016/j.jisa.2021.102846 doi: 10.1016/j.jisa.2021.102846
    [2] S. Xuecheng, L. Zheming, W. Zhe, L. Yongliang, A geometrically robust multi-bit video watermarking algorithm based on 2-D DFT, Multimed. Tools Appl., 80 (2021), 13491-13511. https://doi.org/10.1007/s11042-020-10392-9 doi: 10.1007/s11042-020-10392-9
    [3] G. Sandaruwan, L. Ranathunga, Robust and adaptive watermarking technique for digital images. IEEE International Conference on Industrial & Information Systems. IEEE, 2017, 1-6. https://doi.org/10.1109/ICⅡNFS.2017.8300387
    [4] M. Reza Keyvanpour, N. Khanbani, M. Boreiry, A secure method in digital video watermarking with transform domain algorithms, Multimed. Tools Appl., 80 (2021), 20449-20476. https://doi.org/10.1007/s11042-021-10730-5 doi: 10.1007/s11042-021-10730-5
    [5] D. Ariatmanto, F. Ernawan, An improved robust image watermarking by using different embedding strengths, Multimed. Tools Appl., 79 (2020), 12041-12067. https://doi.org/10.1007/s11042-019-08338-x doi: 10.1007/s11042-019-08338-x
    [6] J. Abraham, V. Paul, An imperceptible spatial domain color image watermarking scheme, J. King Saud Univ.-Comput. Inf. Sci., 31 (2019), 125-133. https://doi.org/10.1016/j.jksuci.2016.12.004 doi: 10.1016/j.jksuci.2016.12.004
    [7] W. Zhou, G. Jiang, M. Yu, F. Shao, Z. Peng, Reduced-reference stereoscopic image quality assessment based on view and disparity zero-watermarks, Signal Process. Image Commun., 29 (2014), 167-176. https://doi.org/10.1016/j.image.2013.10.005 doi: 10.1016/j.image.2013.10.005
    [8] D. Fan, Y. Li, S. Gao, A novel zero watermark optimization algorithm based on Gabor transform and discrete cosine transform, Concurr. Comput. Pract. Exp., 2 (2020). https://doi.org/10.1002/cpe.5689 doi: 10.1002/cpe.5689
    [9] C. Kumar, A. K. Singh, P. Kumar, et al, SPHIT-based multiple image watermarking in NSCT domain, Concurr. Comput. Pract. Exp., 32 (2020), e4912.1-e4912.9. https://doi.org/10.1002/cpe.4912 doi: 10.1002/cpe.4912
    [10] M. Moosazadeh, G. Ekbatanifard, An improved robust image watermarking method using DCT and YCoCg-R color space, Optik, 140 (2017), 975-988. https://doi.org/10.1016/j.ijleo.2017.05.011 doi: 10.1016/j.ijleo.2017.05.011
    [11] C. Zhu, Y. Li, W. Chi, S. Gao, D. Fan, Zero-watermarking algorithm for color image in contourlet domain based on Schur decomposition, Inf. Technol. Inf. Technol., 227 (2019), 94-98.
    [12] D. Wei, Y. Li, Convolution and Multichannel Sampling for the Offset Linear Canonical Transform and Their Applications, IEEE T. Signal PR., 67 (2019), 6009-6024. https://doi.org/10.1109/TSP.2019.2951191 doi: 10.1109/TSP.2019.2951191
    [13] D. Wei, M. Jiang, A fast image encryption algorithm based on parallel compressive sensing and DNA sequence, Optik, 238 (2021), 166748. https://doi.org/10.1016/j.ijleo.2021.166748 doi: 10.1016/j.ijleo.2021.166748
    [14] Y. Li, D. Wei, L. Zhang, Double-encrypted watermarking algorithm based on cosine transform and fractional Fourier transform in invariant wavelet domain, Inf. Sci., 551 (2021), 205-227. https://doi.org/10.1016/j.ins.2020.11.020 doi: 10.1016/j.ins.2020.11.020
    [15] W. Zhou, C. Liu, J. Lei, L. Yu, T. Luo, HFNet: Hierarchical feedback network with multilevel atrous spatial pyramid pooling for RGB-D saliency detection, Neurocomputing, 2021. https://doi.org/10.1016/j.neucom.2021.11.100 doi: 10.1016/j.neucom.2021.11.100
    [16] W. Zhou, J. Liu, J. Lei, L. Yu, J. Hwang, GMNet: Graded-feature multilabel-learning network for RGB-thermal urban scene semantic segmentation, IEEE T. Image Process., 30 (2021), 7790-7802. https://doi.org/10.1109/TIP.2021.3109518 doi: 10.1109/TIP.2021.3109518
    [17] M. Tancik, B. Mildenhall, R. NG, Invisible hyperlinks in physical photographs, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2020, 2117-2126. https://doi.org/10.1109/CVPR42600.2020.00219 doi: 10.1109/CVPR42600.2020.00219
    [18] S. Anguraj, P. S. Shantharajah, E J. Jeba, A steganographic method based on optimized audio embedding technique for secure data communication in the Internet of Things, Comput. Intell., 36 (2019), 557-573. https://doi.org/10.1111/coin.12253 doi: 10.1111/coin.12253
    [19] P. Hu, D. Peng, Z. Yi. Y. Xiang, Robust time-spread echo watermarking using characteristics of host signals, Electron. Lett., 52 (2016), 5-6. https://doi.org/10.1049/el.2015.1508 doi: 10.1049/el.2015.1508
    [20] M. Mosleh, S. Setayeshi, B. Barekatain, M. Mohammad, A novel audio watermarking scheme based on fuzzy inference system in DCT domain, Multimed. Tools Appl., 80 (2021), 20423-20447. https://doi.org/10.1007/s11042-021-10686-6 doi: 10.1007/s11042-021-10686-6
    [21] M. Abdelwahab Khaled, M. Abd El-atty Saied, Wi. El-Shafa, S. El-Rabaie, F. E. Abd El-Samie, Efficient SVD-based audio watermarking technique in FRT domain, Multimed. Tools Appl., 79 (2020), 5617-5648. https://doi.org/10.1007/s11042-019-08023-z doi: 10.1007/s11042-019-08023-z
    [22] H. Karajeh, T. Khatib, L. Rajab, M. Maqableh, A robust digital audio watermarking scheme based on DWT and Schur decomposition, Multimed. Tools Appl., 78 (2019), 18395-18418. https://doi.org/10.1007/s11042-019-7214-3 doi: 10.1007/s11042-019-7214-3
    [23] S. Bhargavi Latha, D. Venkata Reddy, A. Damodaram, Video watermarking using neural networks, Int. J. Inf. Comput. Secur., 14 (2021), 40-59. https://doi.org/10.1504/IJICS.2021.112207 doi: 10.1504/IJICS.2021.112207
    [24] J. Sang, Q. Liu, C. Song, Robust video watermarking using a hybrid DCT-DWT approach, J. Electron. Sci. Technol., 18 (2020), 179-189. https://doi.org/10.1016/j.jnlest.2020.100052 doi: 10.1016/j.jnlest.2020.100052
    [25] Kh. Manglem Singh, A robust rotation resilient video watermarking scheme based on the SIFT, Multimed. Tools Appl., 77 (2018), 16419-16444. https://doi.org/10.1007/s11042-017-5213-9 doi: 10.1007/s11042-017-5213-9
    [26] A. Rakesh, B. Sarabjeet Singh, Video watermarking scheme based on IDR frames using MPEG-2 structure, Int. J. Inf. Comput. Secur., 11 (2019), 585-603. https://doi.org/10.1504/IJICS.2019.103065 doi: 10.1504/IJICS.2019.103065
    [27] C. Li, Y. Yang, K. Liu, L. Tian, A Semi-Fragile video watermarking algorithm based on H.264/AVC, Wirel. Commun. Mob. Comput., 2020. https://doi.org/10.1155/2020/8848553 doi: 10.1155/2020/8848553
    [28] F. Madine, M. A. Akhaee, N. Zarmehi, A multiplicative video watermarking robust to H.264/AVC compression standard, Signal Process. Image Commun., 68 (2018), 229-240. https://doi.org/10.1016/j.image.2018.06.015 doi: 10.1016/j.image.2018.06.015
    [29] S. Gaj, A. Sur, PK. Bora, Prediction mode based H.265/HEVC video watermarking resisting re-compression attack, Multimed. Tools Appl., 79 (2020), 18089-18119. https://doi.org/10.1007/s11042-019-08301-w doi: 10.1007/s11042-019-08301-w
    [30] J. Dittmann, A. Steinmetz, R. Steinmetz, Content-based Digital Signature for Motion Pictures Authentication and Content-Fragile Watermarking, IEEE International Conference of the Multimedia Systems, 1 (1999), 574-579. https://doi.org/10.1109/MMCS.1999.779264 doi: 10.1109/MMCS.1999.779264
    [31] P. Agrawal, A. Khurshid, DWT and GA-PSO Based Novel Watermarking for Videos Using Audio Watermark, International conference on swarm intelligence. ICSI, 2014,212-220. https://doi.org/10.1007/978-3-319-11897-0_25
    [32] M. Sun dararajan, G. Yamuna, CWT and CS algorithm based video watermarking using audio watermark, Procedia Comput. Sci., 87 (2016), 93-98. https://doi.org/10.1016/j.procs.2016.05.132 doi: 10.1016/j.procs.2016.05.132
    [33] X. Wang, Y. Pan, Audio and video cross watermarking algorithm based-on visual saliency model, Electron. Meas. Technol., 40 (2017), 112-115.
    [34] Z. Esmaeilbeig, S. Ghaemmaghami, Compressed Video Watermarking for Authentication and Reconstruction of the Audio Part, 2018 15th International ISC (Iranian Society of Cryptology) Conference on Information Security and Cryptology. ISCISC. 2018, 1-6. https://doi.org/10.1109/ISCISC.2018.8546897
    [35] G. Sucharitha, R. Kumar Senapati, Biomedical image retrieval by using local directional edge binary patterns and Zernike moments, Multimed. Tools Appl., 79 (2020), 1847-1864. https://doi.org/10.1007/s11042-019-08215-7 doi: 10.1007/s11042-019-08215-7
    [36] J. Qu, Image encryption algorithm based on Logistic chaotic scrambling, Science and Technology Innovation, 2020, 2.
    [37] Y. Jiang, M. Cai, C. Song, SIFT based video watermarking algorithm against manifold attacks in contourlet domain, Comput. Simul., 35 (2018), 314-320.
    [38] C. Maiti, B. C. Dhara, Robust non-blind video watermarking using DWT and QR decomposition, Adv. Intel. Syst. Comput., 999 (2020), 333-343. https://doi.org/10.1007/978-981-13-9042-5_28 doi: 10.1007/978-981-13-9042-5_28
    [39] R. Singh, A. Ashok, M. Saraswat, Robust Video Watermarking in Frequency Domain for Copyright Protection, ACM International Conference Proceeding Series, AICPS, 2021,174-178. https://doi.org/10.1145/3474124.3474148
  • This article has been cited by:

    1. Abdelkader Moumen, Ramsha Shafqat, Azmat Ullah Khan Niazi, Nuttapol Pakkaranang, Mdi Begum Jeelani, Kiran Saleem, A study of the time fractional Navier-Stokes equations for vertical flow, 2023, 8, 2473-6988, 8702, 10.3934/math.2023437
    2. Abdelkader Moumen, Ramsha Shafqat, Zakia Hammouch, Azmat Ullah Khan Niazi, Mdi Begum Jeelani, Stability results for fractional integral pantograph differential equations involving two Caputo operators, 2022, 8, 2473-6988, 6009, 10.3934/math.2023303
    3. Kinda Abuasbeh, Ramsha Shafqat, Heng Liu, Fractional Brownian Motion for a System of Fuzzy Fractional Stochastic Differential Equation, 2022, 2022, 2314-4785, 1, 10.1155/2022/3559035
    4. Abdelkader Moumen, Ramsha Shafqat, Ammar Alsinai, Hamid Boulares, Murat Cancan, Mdi Begum Jeelani, Analysis of fractional stochastic evolution equations by using Hilfer derivative of finite approximate controllability, 2023, 8, 2473-6988, 16094, 10.3934/math.2023821
    5. Abdelkader Moumen, Ammar Alsinai, Ramsha Shafqat, Nafisa A. Albasheir, Mohammed Alhagyan, Ameni Gargouri, Mohammed M. A. Almazah, Controllability of fractional stochastic evolution inclusion via Hilfer derivative of fixed point theory, 2023, 8, 2473-6988, 19892, 10.3934/math.20231014
    6. Aziz El Ghazouani, M’hamed Elomari, Said Melliani, Existence, uniqueness, and UH-stability results for nonlinear fuzzy fractional Volterra–Fredholm integro-differential equations, 2025, 2752-2334, 10.1515/jncds-2024-0019
  • Reader Comments
  • © 2022 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(2567) PDF downloads(81) Cited by(2)

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog