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A recent survey on image watermarking using scaling factor techniques for copyright protection

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Abstract

This survey presented a discussion of the existing scaling factor and adaptive scaling factor in image watermarking schemes. The discussion included several issues: robustness, imperceptibility and computational time for embedding a watermark. This survey also discussed the general concept of the image watermarking, transform method, embedding region and security on the existing watermarking scheme. This paper also discussed the recent use of watermarking techniques, potential issues and available solutions in adaptive watermarking schemes. Furthermore, the performance summary of the state-of-art embedding techniques is presented and analysed for future research. This literature review became useful to researchers to know the current challenges in embedding a watermark image. This survey information can be used to design an efficient embedding watermark for copyright protection.

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References

  1. Abdelhakim AM, Saleh HI, Nassar AM (Apr. 2017) A quality guaranteed robust image watermarking optimization with artificial bee Colony. Expert Syst Appl 72:317–326. https://doi.org/10.1016/J.ESWA.2016.10.056

    Article  Google Scholar 

  2. Abdulrahman AK, Ozturk S (2019) A novel hybrid DCT and DWT based robust watermarking algorithm for color images. Multimed Tools Appl 78(12):17027–17049. https://doi.org/10.1007/s11042-018-7085-z

    Article  Google Scholar 

  3. Agarwal C, Mishra A, Sharma A, Bedi P (2014) Optimized gray-scale image watermarking using DWT – SVD and firefly algorithm. Expert Syst Appl 41(17):7858–7867. https://doi.org/10.1016/j.eswa.2014.06.011

    Article  Google Scholar 

  4. Ahmad F, Cheng L-M (Jul. 2018) Authenticity and copyright verification of printed images. Signal Process 148:322–335. https://doi.org/10.1016/J.SIGPRO.2018.02.029

    Article  Google Scholar 

  5. Ahmadi SB, Zhang G, Wei S, Boukela L (2020) An intelligent and blind image watermarking scheme based on hybrid SVD transforms using human visual system characteristics. Vis. Comput 37:385–409. https://doi.org/10.1007/s00371-020-01808-6

    Article  Google Scholar 

  6. Albalawi U, Mohanty SP, Kougianos E (2017) A new region aware invisible robust blind watermarking approach. Multimed Tools Appl 76(20):21303–21337. https://doi.org/10.1007/s11042-016-4063-1

    Article  Google Scholar 

  7. Ali M, Ahn CW (2015) Comments on ‘optimized gray-scale image watermarking using DWT-SVD and Firefly Algorithm. Expert Syst Appl 42(5):2392–2394. https://doi.org/10.1016/j.eswa.2014.10.045

    Article  Google Scholar 

  8. Al-Otum H, Al-Shalabi NE (2017) Copyright protection of color images for android-based smartphones using watermarking with quick-response code. Multimed Tools Appl 77:15625–15655. https://doi.org/10.1007/s11042-017-5138-3

    Article  Google Scholar 

  9. Alshoura WH, Zainol Z, Sen Teh J, Alawida M (2020) A new chaotic image watermarking scheme based on SVD and IWT. IEEE Access 8:43391–43406. https://doi.org/10.1109/ACCESS.2020.2978186

    Article  Google Scholar 

  10. Ansari IA, Pant M (2015) SVD watermarking: particle swarm optimization of scaling factors to increase the quality of watermark BT. Proceed Fourth Int Conf Soft Comput Problem Solving:209–218

  11. Ansari IA, Pant M (Jul. 2017) Multipurpose image watermarking in the domain of DWT based on SVD and ABC. Pattern Recogn Lett 94:228–236. https://doi.org/10.1016/J.PATREC.2016.12.010

    Article  Google Scholar 

  12. Ansari A, Hong S, Saavedra G, Javidi B, Martinez-Corral M (2018) Ownership protection of plenoptic images by robust and reversible watermarking. Opt Lasers Eng 107:325–334. https://doi.org/10.1016/J.OPTLASENG.2018.03.028

    Article  Google Scholar 

  13. Bhinder P, Jindal N, Singh K (2019) An improved robust image-adaptive watermarking with two watermarks using statistical decoder. Multimed Tools Appl 79:183–217. https://doi.org/10.1007/s11042-019-07941-2

    Article  Google Scholar 

  14. Cao X, Fu Z, Sun X (2016) A privacy-preserving outsourcing data storage scheme with fragile digital watermarking-based data auditing. J Electr Comput Eng:1–8. https://doi.org/10.1155/2016/3219042

  15. Chang T-J, Pan I-H, Huang P-S, Hu C-H (2019) A robust DCT-2DLDA watermark for color images. Multimed Tools Appl 78:9169–9191. https://doi.org/10.1007/s11042-018-6505-4

    Article  Google Scholar 

  16. Chaturvedi R, Sharma A, Dwivedi U, Kumar S, Kumar AP (2016) Security enhanced image watermarking using mid-band DCT coefficient in YCbCr space. Int J Control Theory Appl 9(23):271–278

    Google Scholar 

  17. Chen ST, Huang HN, Kung WM, Hsu CY (2016) Optimization-based image watermarking with integrated quantization embedding in the wavelet-domain. Multimed Tools Appl 75(10):5493–5511. https://doi.org/10.1007/s11042-015-2522-8

    Article  Google Scholar 

  18. Chen F, He H, Huo Y (2017) Self-embedding watermarking scheme against JPEG compression with superior imperceptibility. Multimed Tools Appl 76(7):9681–9712. https://doi.org/10.1007/s11042-016-3574-0

    Article  Google Scholar 

  19. Cui X, Niu Y, Zheng X, Han Y (2018) An optimized digital watermarking algorithm in wavelet domain based on differential evolution for color image. PLoS One 13(5):1–15. https://doi.org/10.1371/journal.pone.0196306

    Article  Google Scholar 

  20. Dappuri B, Rao MP, Sikha MB (2020) Non-blind RGB watermarking approach using SVD in translation invariant wavelet space with enhanced Grey-wolf optimizer. Multimed Tools Appl 79(41–42):31103–31124. https://doi.org/10.1007/s11042-020-09433-0

    Article  Google Scholar 

  21. Das C, Panigrahi S, Sharma VK, Mahapatra KK (Mar. 2014) A novel blind robust image watermarking in DCT domain using inter-block coefficient correlation. AEU - Int J Electron Commun 68(3):244–253. https://doi.org/10.1016/J.AEUE.2013.08.018

    Article  Google Scholar 

  22. De S, Bhaumik J, Dhar P, Roy K (2017) Communication, Devices, and Computing, vol. 470. Springer Singapore

  23. Dey N, Samanta S, Chakraborty S, Das A, Chaudhuri SS, Suri JS (2014) Firefly algorithm for optimization of scaling factors during embedding of manifold medical information: an application in ophthalmology imaging. J Med Imaging Heal Informatics 4(3):384–394. https://doi.org/10.1166/jmihi.2014.1265

    Article  Google Scholar 

  24. Ernawan F, Ariatmanto D (2019) Image watermarking based on integer wavelet transform-singular value decomposition with variance pixelsI. Int. J. Electr. Comput. Eng. l. 9(3): 2185–2195, https://doi.org/10.11591/ijece.v9i3.pp2185-2195.

  25. Ernawan F, Kabir MN (2018) A blind watermarking technique using redundant wavelet transform for copyright protection. 2018 IEEE 14th Int Colloquium Signal Process Its Appl (CSPA):221–226. https://doi.org/10.1109/CSPA.2018.8368716

  26. Ernawan F, Kabir MN (2018) A block-based RDWT-SVD image watermarking method using human visual system characteristics. Vis Comput 36:1–19. https://doi.org/10.1007/s00371-018-1567-x

    Article  Google Scholar 

  27. Ernawan F, Kabir MN (2018) A robust image watermarking technique with an optimal DCT-Psychovisual threshold. IEEE Access 6:20464–20480. https://doi.org/10.1109/ACCESS.2018.2819424

    Article  Google Scholar 

  28. Ernawan F, Kabir MN (2019) An Improved Watermarking Technique for Copyright Protection Based on Tchebichef Moments. IEEE Access. 7: 151985–152003

  29. Ernawan F, Ramalingam M, Sadiq A, Mustaffa Z (2017) An improved imperceptibility and robustness of 4x4 DCT-SVD image watermarking with a modified entropy. J Telecomm, Electronic Comput Eng 9(2–7):111–116

    Google Scholar 

  30. Fang H, Zhou H, Ma Z, Zhang W, Yu N (2019) A robust image watermarking scheme in DCT domain based on adaptive texture direction quantization. Multimed Tools Appl 78:8075–8089. https://doi.org/10.1007/s11042-018-6596-y

    Article  Google Scholar 

  31. Fazli S, Moeini M (Jan. 2016) A robust image watermarking method based on DWT, DCT, and SVD using a new technique for correction of main geometric attacks. Optik (Stuttg) 127(2):964–972. https://doi.org/10.1016/j.ijleo.2015.09.205

    Article  Google Scholar 

  32. Gangadhar Y, Giridhar Akula VS, Reddy PC (2018) An evolutionary programming approach for securing medical images using watermarking scheme in invariant discrete wavelet transformation. Biomed Signal Process Control 43:31–40. https://doi.org/10.1016/J.BSPC.2018.02.007

    Article  Google Scholar 

  33. Ghazvini M, Hachrood EM, Mirzadi M (2017) An improved image watermarking method in frequency domain. J Appl Secur Res 12(2):260–275. https://doi.org/10.1080/19361610.2017.1277878

    Article  Google Scholar 

  34. Giri KJ, Bashir R Digital Watermarking: A Potential Solution for Multimedia Authentication. In: Intelligent Techniques in Signal Processing for Multimedia Security, N. Dey and V. Santhi, Eds. Cham: Springer International Publishing, pp. 93–112, 2017.

  35. Gonge SS, Ghatol A (2016) Aggregation of discrete cosine transform digital image watermarking with advanced encryption standard technique. Procedia Comput Sci 89:732–742. https://doi.org/10.1016/J.PROCS.2016.06.046

    Article  Google Scholar 

  36. Guo JM, Riyono D, Prasetyo H (2018) Hyperchaos permutation on false-positive-free SVD-based image watermarking. Multimed Tools Appl 78(20):29229–29270. https://doi.org/10.1007/s11042-018-6767-x

    Article  Google Scholar 

  37. Gupta R, Mishra A, Jain S (2018) A semi-blind HVS based image watermarking scheme using elliptic curve cryptography. Multimed Tools Appl 77(15):19235–19260. https://doi.org/10.1007/s11042-017-5351-0

    Article  Google Scholar 

  38. Hamid M, Wang C (2016) A simple image-adaptive watermarking algorithm with blind extraction. Int. Conf. Syst. Signals, Image Process., June: 7–10. https://doi.org/10.1109/IWSSIP.2016.7502755.

  39. Hamidi M, Haziti ME, Cherifi H, Hassouni ME (2018) Hybrid blind robust image watermarking technique based on DFT-DCT and Arnold transform. Multimed Tools Appl 77(20):27181–27214. https://doi.org/10.1007/s11042-018-5913-9

    Article  Google Scholar 

  40. Hashmi MF, Shukla RJ, Keskar AG (2015) Real time copyright protection and implementation of image and video processing on android and embedded platforms. Procedia Comput Sci 46:1626–1634. https://doi.org/10.1016/j.procs.2015.02.096

    Article  Google Scholar 

  41. He Y, Hu Y (2018) A Proposed Digital Image Watermarking Based on DWT-DCT-SVD. Proceed 2018 2nd IEEE Adv Inform Manag, Comm, Electronic Automation Control Conf, IMCEC 2018:1214–1218. https://doi.org/10.1109/IMCEC.2018.8469626

  42. Hsu L-Y, Hu H-T (Jul. 2017) Robust blind image watermarking using crisscross inter-block prediction in the DCT domain. J Vis Commun Image Represent 46:33–47. https://doi.org/10.1016/J.JVCIR.2017.03.009

    Article  Google Scholar 

  43. Hu H-T, Chang J-R (2018) Dual image watermarking by exploiting the properties of selected DCT coefficients with JND modeling. Multimed Tools Appl 77(20):26965–26990. https://doi.org/10.1007/s11042-018-5900-1

    Article  Google Scholar 

  44. Hu H-T, Hsu L-Y (2017) Collective blind image watermarking in DWT-DCT domain with adaptive embedding strength governed by quality metrics. Multimed Tools Appl 76(5):6575–6594. https://doi.org/10.1007/s11042-016-3332-3

    Article  Google Scholar 

  45. Hu H-T, Chang J-R, Hsu L-Y (Oct. 2016) Robust blind image watermarking by modulating the mean of partly sign-altered DCT coefficients guided by human visual perception. AEU - Int. J. Electron. Commun. 70(10):1374–1381. https://doi.org/10.1016/J.AEUE.2016.07.011

    Article  Google Scholar 

  46. Kadhim IJ, Premaratne P, Vial PJ, Halloran B (2019) Comprehensive survey of image steganography: techniques, evaluations, and trends in future research. Neurocomputing 335:299–326. https://doi.org/10.1016/j.neucom.2018.06.075

    Article  Google Scholar 

  47. Keshavarzian R, Aghagolzadeh A (Mar. 2016) ROI based robust and secure image watermarking using DWT and Arnold map. AEU - Int J Electron Commun 70(3):278–288. https://doi.org/10.1016/J.AEUE.2015.12.003

    Article  Google Scholar 

  48. Keyvanpour MR, Merrikh-Bayat F (2011) Robust dynamic block-based image watermarking in DWT domain. Procedia Comput. Sci. 3:238–242. https://doi.org/10.1016/j.procs.2010.12.040

    Article  MATH  Google Scholar 

  49. Khalili M (2015) DCT-Arnold chaotic based watermarking using JPEG-YCbCr. Opt - Int J Light Electron Opt 126(23):4367–4371. https://doi.org/10.1016/J.IJLEO.2015.08.042

    Article  Google Scholar 

  50. Kumar C, Singh AK, Kumar P (2018) A recent survey on image watermarking techniques and its application in e-governance. Multimed Tools Appl 77(3):3597–3622. https://doi.org/10.1007/s11042-017-5222-8

    Article  Google Scholar 

  51. Lai C-C (2011) An improved SVD-based watermarking scheme using human visual characteristics. Opt Commun 284(4):938–944. https://doi.org/10.1016/J.OPTCOM.2010.10.047

    Article  Google Scholar 

  52. Lang J, Zhang Z (2014) Blind digital watermarking method in the fractional Fourier transform domain. Opt Lasers Eng 53:112–121. https://doi.org/10.1016/J.OPTLASENG.2013.08.021

    Article  Google Scholar 

  53. Loan NA, Hurrah NN, Parah SA, Lee JW, Sheikh JA, Bhat GM (2018) Secure and robust digital image watermarking using coefficient differencing and chaotic encryption. IEEE Access 6:19876–19897. https://doi.org/10.1109/ACCESS.2018.2808172

    Article  Google Scholar 

  54. Luo AW, Gong LH, Zhou NR, Zou WP (2020) Adaptive and blind watermarking scheme based on optimal SVD blocks selection. Multimed Tools Appl 79(1–2):243–261. https://doi.org/10.1007/s11042-019-08074-2

    Article  Google Scholar 

  55. Makbol NM, Khoo BE (2013) Robust blind image watermarking scheme based on redundant discrete wavelet transform and singular value decomposition. AEU - Int. J. Electron. Commun. 67(2):102–112. https://doi.org/10.1016/j.aeue.2012.06.008

    Article  Google Scholar 

  56. Makbol NM, Khoo BE, Rassem TH (2016) Block-based discrete wavelet transform- singular value decomposition image watermarking scheme using human visual system characteristics. IET Image Process 10(1):34–52. https://doi.org/10.1049/iet-ipr.2014.0965

    Article  Google Scholar 

  57. Makbol NM, Khoo BE, Rassem TH, Loukhaoukha K (2017) A new reliable optimized image watermarking scheme based on the integer wavelet transform and singular value decomposition for copyright protection. Inf. Sci. (Ny). 417:381–400. https://doi.org/10.1016/J.INS.2017.07.026

    Article  Google Scholar 

  58. Makbol NM, Khoo BE, Rassem TH, Loukhaoukha K (2017) A new reliable optimized image watermarking scheme based on the integer wavelet transform and singular value decomposition for copyright protection. Inf. Sci. (Ny). 417:381–400. https://doi.org/10.1016/J.INS.2017.07.026

    Article  Google Scholar 

  59. Mehta R, Rajpal N, Vishwakarma VP (2016) Adaptive image watermarking scheme using fuzzy entropy and GA-ELM hybridization in DCT domain for copyright protection. J Signal Process Syst 84(2):265–281. https://doi.org/10.1007/s11265-015-1055-8

    Article  Google Scholar 

  60. Moosazadeh M, Ekbatanifard G (2017) An improved robust image watermarking method using DCT and YCoCg-R color space. Optik (Stuttg) 140:975–988. https://doi.org/10.1016/j.ijleo.2017.05.011

    Article  Google Scholar 

  61. Munoz-Ramirez D-O, Ponomaryov V, Reyes-Reyes R, Kyrychenko V, Pechenin O, Totsky A (2018) A robust watermarking scheme to JPEG compression for embedding a color watermark into digital images, Proceed 2018 IEEE 9th Int Conf Dependable Syst, Services Technol, DESSERT 2018, pp. 619–624, https://doi.org/10.1109/DESSERT.2018.8409206

  62. Murali P, Sankaradass V (2018) An efficient ROI based copyright protection scheme for digital images with SVD and orthogonal polynomials transformation. Optik (Stuttg). 170:242–264. https://doi.org/10.1016/J.IJLEO.2018.04.050

    Article  Google Scholar 

  63. Pan-Pan N, Xiang-Yang W, Yu-Nan L, Hong-Ying Y (2017) A robust color image watermarking using local invariant significant bitplane histogram. Multimed Tools Appl 76(3):3403–3433. https://doi.org/10.1007/s11042-016-3935-8

    Article  Google Scholar 

  64. Parah SA, Ashraf S, Ashraf A (2015) Robustness Analysis of a Digital Image Watermarking Technique for Various Frequency Bands in DCT Domain. Proceedings - 2015 IEEE Int Symposium Nanoelectronic Inform Syst, iNIS 6:57–62. https://doi.org/10.1109/iNIS.2015.41

    Article  Google Scholar 

  65. Parah SA, Sheikh JA, Loan NA, Bhat GM (2016) Robust and blind watermarking technique in DCT domain using inter-block coefficient differencing. Digit Signal Process 53:11–24. https://doi.org/10.1016/J.DSP.2016.02.005

    Article  Google Scholar 

  66. Parah SA, Sheikh JA, Loan NA, Ahad F, Bhat GM (2018) Utilizing neighborhood coefficient correlation: a new image watermarking technique robust to singular and hybrid attacks. Multidimens Syst Signal Process 29(3):1095–1117. https://doi.org/10.1007/s11045-017-0490-z

    Article  MathSciNet  MATH  Google Scholar 

  67. Parekh M, Bidani S, Santhi V, Spatial Domain Blind Watermarking for Digital Images. In: Progress in Computing, Analytics and Networking, pp. 519–527, 2018.

  68. Pendyala M, Gokhale A (2016) Design of a spatial domain watermarking technique with VLSI implementation. 2016 Conference on Advances in Signal Processing (CASP):498–503. https://doi.org/10.1109/CASP.2016.7746223

  69. Peng Y, Lan H, Yue M, Xue Y (2017) Multipurpose watermarking for vector map protection and authentication. Multimed Tools Appl 77:7239–7259. https://doi.org/10.1007/s11042-017-4631-z

    Article  Google Scholar 

  70. Pourhadi A, Mahdavi-Nasab H (2020) A robust digital image watermarking scheme based on bat algorithm optimization and SURF detector in SWT domain. Multimed Tools Appl 79(29–30):21653–21677. https://doi.org/10.1007/s11042-020-08960-0

    Article  Google Scholar 

  71. Qin C, Ji P, Chang CC, Dong J, Sun X (2018) Non-uniform watermark sharing based on optimal iterative BTC for image tampering recovery. IEEE Multimed 25(3):36–48. https://doi.org/10.1109/MMUL.2018.112142509

    Article  Google Scholar 

  72. Roy S, Pal AK (2017) A blind DCT based color watermarking algorithm for embedding multiple watermarks. AEU - Int. J. Electron. Commun. 72:149–161. https://doi.org/10.1016/J.AEUE.2016.12.003

    Article  Google Scholar 

  73. Sangeetha N, Anita X (2018) Entropy based texture watermarking using discrete wavelet transform. Optik (Stuttg). 160:380–388. https://doi.org/10.1016/J.IJLEO.2018.01.136

    Article  Google Scholar 

  74. Santhi V (2017) Adaptive color image watermarking scheme using Weibull distribution. Intell Techn Signal Process Multimedia Sec 660:453–468

    Article  Google Scholar 

  75. Shahdoosti HR, Salehi M (2018) Transform-based watermarking algorithm maintaining perceptual transparency. IET Image Process 12(5):751–759. https://doi.org/10.1049/iet-ipr.2017.0898

    Article  Google Scholar 

  76. Singh AK (2017) Improved hybrid algorithm for robust and imperceptible multiple watermarking using digital images. Multimed Tools Appl 76(6):8881–8900. https://doi.org/10.1007/s11042-016-3514-z

    Article  Google Scholar 

  77. Singh SP, Bhatnagar G (May 2018) A new robust watermarking system in integer DCT domain. J Vis Commun Image Represent 53:86–101. https://doi.org/10.1016/j.jvcir.2018.03.006

    Article  Google Scholar 

  78. Singh P, Raman B (2017) A secured robust watermarking scheme based on majority voting concept for rightful ownership assertion. Multimed Tools Appl 76(20):21497–21517. https://doi.org/10.1007/s11042-016-4006-x

    Article  Google Scholar 

  79. Singh D, Singh SK (2017) DCT based efficient fragile watermarking scheme for image authentication and restoration. Multimed Tools Appl 76(1):953–977. https://doi.org/10.1007/s11042-015-3010-x

    Article  Google Scholar 

  80. Singh P, Raman B, Roy PP (2017) A multimodal biometric watermarking system for digital images in redundant discrete wavelet transform. Multimed Tools Appl 76(3):3871–3897. https://doi.org/10.1007/s11042-016-4048-0

    Article  Google Scholar 

  81. Soliman MM, Hassanien AE, Onsi HM (2016) An adaptive watermarking approach based on weighted quantum particle swarm optimization. Neural Comput Appl 27(2):469–481. https://doi.org/10.1007/s00521-015-1868-1

    Article  Google Scholar 

  82. Sun L, Xu J, Liu S, Zhang S (2018) A robust image watermarking scheme using Arnold transform and BP neural network. Neural Comput Appl 30(8):2425–2440. https://doi.org/10.1007/s00521-016-2788-4

    Article  Google Scholar 

  83. Takore TT, Kumar PR, Devi GL (2018) A Robust and Oblivious Grayscale Image Watermarking Scheme Based on Edge Detection, SVD, and GA. Proceed 2nd Int Conf Micro-Electronics, Electromagn Telecommun 434:51–61. https://doi.org/10.1007/978-981-10-4280-5

    Article  Google Scholar 

  84. Tareef A, Al-Ani A (2015) A highly secure oblivious sparse coding-based watermarking system for ownership verification. Expert Syst Appl 42(4):2224–2233. https://doi.org/10.1016/J.ESWA.2014.09.055

    Article  Google Scholar 

  85. Thakral S, Manhas P (2019) Image Processing by Using Different Types of Discrete Wavelet Transform. Advan Inform Comput Res:499–507

  86. Thanh TM, Tanaka K, Dung LH, Tai NT, Nam HN (2018) Performance analysis of robust watermarking using linear and nonlinear feature matching. Multimed Tools Appl 77(2):2901–2920. https://doi.org/10.1007/s11042-017-4435-1

    Article  Google Scholar 

  87. Tyagi S, Singh HV, Agarwal R (2017) Image watermarking using genetic algorithm in DCT domain. Proc Int Conf Inven Syst Control ICISC 2017:1–6. https://doi.org/10.1109/ICISC.2017.8068743

  88. Vairaprakash S, Shenbagavalli A (2018) A discrete Rajan transform-based robustness improvement encrypted watermark scheme backed by support vector machine. Comput Electr Eng 70:826–843. https://doi.org/10.1016/J.COMPELECENG.2017.12.029

    Article  Google Scholar 

  89. Vali MH, Aghagolzadeh A, Baleghi Y (Dec. 2018) Optimized watermarking technique using self-adaptive differential evolution based on redundant discrete wavelet transform and singular value decomposition. Expert Syst Appl 114:296–312. https://doi.org/10.1016/J.ESWA.2018.07.004

    Article  Google Scholar 

  90. Veni M, Meyyappan T (2019) Digital image watermark embedding and extraction using oppositional fruit Fly algorithm. Multimed Tools Appl 78:27491–27510. https://doi.org/10.1007/s11042-019-7650-0

    Article  Google Scholar 

  91. Vo P-H, Nguyen T-S, Huynh V-T, Do T-N (2017) A robust hybrid watermarking scheme based on DCT and SVD for copyright protection of stereo images. 2017 4th NAFOSTED Conf Inform Comput Sci, NICS 2017 - Proceed:331–335. https://doi.org/10.1109/NAFOSTED.2017.8108087

  92. Wan W, Liu J, Sun J, Gao D (2016) Improved logarithmic spread transform dither modulation using a robust perceptual model. Multimed Tools Appl 75(21):13481–13502. https://doi.org/10.1007/s11042-015-2853-5

    Article  Google Scholar 

  93. Wan W, Wang J, Xu M, Li J, Sun J, Zhang H (2019) Robust image watermarking based on two-layer visual saliency-induced JND profile. IEEE Access 7:39826–39841. https://doi.org/10.1109/ACCESS.2019.2906912

    Article  Google Scholar 

  94. Yadav N, Singh K (2015) Robust image-adaptive watermarking using an adjustable dynamic strength factor. Signal, Image Video Process 9(7):1531–1542. https://doi.org/10.1007/s11760-013-0607-2

    Article  Google Scholar 

  95. Yadav AK, Mehta R, Kumar R, Vishwakarma VP (2016) Lagrangian twin support vector regression and genetic algorithm based robust grayscale image watermarking. Multimed Tools Appl 75(15):9371–9394. https://doi.org/10.1007/s11042-016-3381-7

    Article  Google Scholar 

  96. Zhou X, Cao C, Ma J, Wang L (2018) Adaptive digital watermarking scheme based on support vector machines and optimized genetic algorithm. Math Probl Eng 2018:1–10. https://doi.org/10.1155/2018/2685739

    Article  Google Scholar 

  97. Zong T, Xiang Y, Guo S, Rong Y (2016) Rank-based image watermarking method with high embedding capacity and robustness. IEEE Access 4:1689–1699. https://doi.org/10.1109/ACCESS.2016.2556723

    Article  Google Scholar 

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Acknowledgments

This work was supported by Universiti Malaysia Pahang through the Research Grant Scheme (RDU222709 and UIC221522).

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Correspondence to Ferda Ernawan.

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Ernawan, F., Ariatmanto, D. A recent survey on image watermarking using scaling factor techniques for copyright protection. Multimed Tools Appl 82, 27123–27163 (2023). https://doi.org/10.1007/s11042-023-14447-5

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  • DOI: https://doi.org/10.1007/s11042-023-14447-5

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