Journal of Agricultural Big Data >
Research Progress on Remote Sensing Image Invisible Watermarking Technology in Data Flow Scenarios
Received date: 2023-11-21
Accepted date: 2024-01-23
Online published: 2024-07-03
With the development of remote sensing technology and the enrichment of information transmission methods, remote sensing images have been widely applied in various key fields. Remote sensing images are easy to face problems such as missing source and copyright information, or unclear reliability in the process of multi-terminal circulation, where technique are necessary to ensure the confirmation and verification of rights during the data circulation process. At present, invisible image watermarking is one of the most effective methods in practical applications, which has attracted the attention of various research teams, and its technology is constantly developing and improving. Among them, due to the more applications of raster type image data, scholars' research about which is also more abundant. This article briefly analyzes the research background and requirements of invisible image watermarking technology applied to raster format remote sensing images in data circulation, organizes the commonly used technical indicators in research, introduces representative research technologies, and looks forward to the possible future development of this technique based on current research and demand.
LU JunYan . Research Progress on Remote Sensing Image Invisible Watermarking Technology in Data Flow Scenarios[J]. Journal of Agricultural Big Data, 2024 , 6(2) : 220 -229 . DOI: 10.19788/j.issn.2096-6369.000008
| [1] | Zhu C Q. Research progresses in digital watermarking and encryption control for geographical data[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(10):1609. https://doi.org/10.11947/j.AGCS.2017.20170301. |
| [2] | Begum M, Uddin M S. Digital image watermarking techniques: a review[J]. Information, 2020, 11(2): 110. https://doi.org/10.3390/info11020110. |
| [3] | Zhu C Q, Ren N, Zhou Z C, et al. Research status and prospect of security technology for geographic big data[J]. Modern Surveying and Mapping, 2020, 43(6):9-13. |
| [4] | Wadhera S, Kamra D, Rajpal A, et al. A comprehensive review on digital image watermarking[J]. arXiv preprint arXiv:2207.06909, 2022. https://doi.org/10.48550/arXiv.2207.06909. |
| [5] | Wan W, Wang J, Zhang Y, et al. A comprehensive survey on robust image watermarking[J]. Neurocomputing, 2022, 488: 226-247. https://doi.org/10.1016/j.neucom.2022.02.083. |
| [6] | Wang X Y, Yang H Y, Wu J. Content-based adaptive discrete cosine transform domain watermarking algorithm for remote sensing image[J]. Acta Geodaetica et Cartographica Sinica, 2005,(4):46-52. |
| [7] | Wang Z W, Zhu C Q, Wang Q S, et al. An adaptive watermarking algorithm for raster map based on HVS and DFT[J]. Geomatics and Information Science of Wuhan University, 2011, 36(3):351-354. https://doi.org/10.13203/j.whugis2011.03.014. |
| [8] | Barni M, Bartolini F, Cappellini V, et al. Near-lossless digital watermarking for copyright protection of remote sensing images[C]// IEEE international geoscience and remote sensing symposium. IEEE, 2002, 3: 1447-1449. https://doi.org/10.1109/IGARSS.2002.1026144. |
| [9] | Savakar D G, Ghuli A. Robust invisible digital image watermarking using hybrid scheme[J]. Arabian Journal for Science and Engineering, 2019, 44(4): 3995-4008. https://doi.org/10.1007/s13369-019-03751-8. |
| [10] | Bamatraf A, Ibrahim R, Salleh M N B M. Digital watermarking algorithm using LSB[C]// 2010 International Conference on Computer Applications and Industrial Electronics, Kuala Lumpur, Malaysia, 2010, 155-159. https://doi.org/10.1109/ICCAIE.2010.5735066. |
| [11] | Khare P, Srivastava V K. A reliable and secure image watermarking algorithm using homomorphic transform in DWT domain[J]. Multidimensional Systems and Signal Processing, 2021, 32: 131-160. https://doi.org/10.1007/s11045-020-00732-1. |
| [12] | Byun S W, Son H S, Lee S P. Fast and robust watermarking method based on DCT specific location[J]. IEEE Access, 2019, 7: 100706-100718. https://doi.org/10.1109/ACCESS.2019.2931039. |
| [13] | Zeki A, Abubakar A, Chiroma H. An intermediate significant bit (ISB) watermarking technique using neural networks[J]. SpringerPlus, 2016, 5: 1-25. https://doi.org/10.1186/s40064-016-2371-6. |
| [14] | Abraham J, Paul V. An imperceptible spatial domain color image watermarking scheme[J]. Journal of King Saud University-Computer and Information Sciences, 2019, 31(1): 125-133. https://doi.org/10.1016/j.jksuci.2016.12.004. |
| [15] | Liu S, Pan Z, Song H B. Digital image watermarking method based on DCT and fractal encoding[J]. IET image processing, 2017, 11(10): 815-821. https://doi.org/10.1049/iet-ipr.2016.0862. |
| [16] | Kumar C, Singh A K, Kumar P. Improved wavelet-based image watermarking through SPIHT[J]. Multimedia Tools and Applications, 2020, 79(15-16): 11069-11082. https://doi.org/10.1007/s11042-018-6177-0. |
| [17] | Prasanth V S, Chandra M P. A robust semi-blind watermarking for color images based on multiple decompositions[J]. Multimedia Tools and Applications, 2017, 76: 25623-25656. https://doi.org/10.1007/s11042-017-4355-0. |
| [18] | Xing S M, Li T Y, Liang J. A zero-watermark hybrid algorithm for remote sensing images based on DCT and DFT[C]// Journal of Physics: Conference Series. IOP Publishing, 2021, 1952(2): 022049. https://doi.org/10.1088/1742-6596/1952/2/022049. |
| [19] | Serra-Ruiz J, Qureshi A, Megías D. Entropy-based semi-fragile watermarking of remote sensing images in the wavelet domain[J]. Entropy, 2019, 21(9): 847. https://doi.org/10.3390/e21090847. |
| [20] | Zhang Y Q. Digital watermarking technology: A review[C]// 2009 ETP International Conference on Future Computer and Communication. IEEE, 2009: 250-252. https://doi.org/10.1109/FCC.2009.76. |
| [21] | Cayre F, Fontaine C, Furon T. Watermarking security: Theory and practice[J]. IEEE Transactions on Signal Processing, 2005, 53(10): 3976-3987. https://doi.org/10.1109/TSP.2005.855418. |
| [22] | Luo L X, Chen Z Y, Chen M, et al. Reversible image watermarking using interpolation technique[J]. IEEE Transactions on Information Forensics and Security, 2009, 5(1): 187-193. https://doi.org/10.1109/TIFS.2009.2035975. |
| [23] | Yaghmaee F, Jamzad M. Estimating watermarking capacity in gray scale images based on image complexity[J]. EURASIP Journal on Advances in Signal Processing, 2010, 2010: 1-9. https://doi.org/10.1155/2010/851920. |
| [24] | Mahto D K, Singh A K. Firefly optimization-based dual watermarking for colour images with improved capacity[J]. Multimedia Tools and Applications, 2022: 1-19. https://doi.org/10.1007/s11042-022-13795-y. |
| [25] | Zhou X Y, Ma Y, Zhang Q Q, et al. A reversible watermarking system for medical color images: balancing capacity, imperceptibility, and robustness[J]. Electronics, 2021, 10(9): 1024. https://doi.org/10.3390/electronics10091024. |
| [26] | Zhu J J, Zeng P, Xie K. Fast robust watermark algorithm for digital raster map[J]. Computer Engineering, 2008,(1):167-169. |
| [27] | Yeo I K, Kim H J. Generalized patchwork algorithm for image watermarking[J]. Multimedia Systems, 2003, 9: 261-265. https://doi.org/10.1007/s00530-003-0097-0. |
| [28] | Taleby Ahvanooey M, Dana Mazraeh H, Tabasi S H. An innovative technique for web text watermarking (AITW)[J]. Information Security Journal: A Global Perspective, 2016, 25(4-6): 191-196. https://doi.org/10.1080/19393555.2016.1202356. |
| [29] | Ziegeler S B, Tamhankar H, Fowler J E, et al. Wavelet-based watermarking of remotely sensed imagery tailored to classification performance[C]// IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, 2003. IEEE, 2003: 259-262. https://doi.org/10.1109/WARSD.2003.1295202. |
| [30] | Huynh-The T, Lee S. Color image watermarking using selective MSB-LSB embedding and 2D Otsu thresholding[C]// 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2017: 1333-1338. https://doi.org/10.1109/WARSD.2003.1295202. |
| [31] | Al-Mansoori S, Kunhu A. Hybrid DWT-DCT and Hash function based digital image watermarking for copyright protection and content authentication of DubaiSat-2 images[C]// High-Performance Computing in Remote Sensing IV. SPIE, 2014, 9247: 33-51. https://doi.org/10.1117/12.2067254. |
| [32] | Anjana S, Rakheja P, Yadav A, et al. Asymmetric double image encryption, compression and watermarking scheme based on orthogonal-triangular decomposition with column pivoting[J]. Optica Applicata, 2022, 52(2):283-295. DOI:10.37190/oa220210. |
| [33] | Cho D J. Study on method of new digital watermark generation using QR-code[C]// 2013 Eighth International Conference on Broadband and Wireless Computing, Communication and Applications. IEEE, 2013: 585-588. https://doi.org/10.1109/BWCCA.2013.102. |
| [34] | Huang K, Tian X B, Yu H Z, et al. A high capacity watermarking technique for the printed document[J]. Electronics, 2019, 8(12): 1403. https://doi.org/10.3390/electronics8121403. |
| [35] | Thulasidharan P P, Nair M S. QR code based blind digital image watermarking with attack detection code[J]. AEU-International Journal of Electronics and Communications, 2015, 69(7): 1074-1084. https://doi.org/10.1016/j.aeue.2015.03.007. |
| [36] | Elbadry S, Xiang Y, Zong T, et al. A new interpolation error expansion based reversible watermarking algorithm considering the human visual system[C]// 2014 IEEE International Conference on Communications (ICC). IEEE, 2014: 896-900. https://doi.org/10.1109/ICC.2014.6883433. |
| [37] | Li L L, Sun J G. A Watermarking algorithm for remote sensing images based on Harris laplace feature region[J]. Computer Applications and Software, 2012, 29(3): 98-101. |
| [38] | Bhatti U A, Yu Z, Yuan L, et al. SURF based security of remote sensing images by encrypted watermark[C]// CIKM Workshops. 2021, Vol-3052/paper14. |
| [39] | Luo L X, Chen Z Y, Chen M, et al. Reversible image watermarking using interpolation technique[J]. IEEE Transactions on information forensics and security, 2009, 5(1): 187-193. https://doi.org/10.1109/TIFS.2009.2035975. |
| [40] | Liu R Z, Tan T N. An SVD-based watermarking scheme for protecting rightful ownership[J]. IEEE transactions on multimedia, 2002, 4(1): 121-128. https://doi.org/10.1109/6046.985560. |
| [41] | Ziegeler S B, Tamhankar H, Fowler J E, et al. Wavelet-based watermarking of remotely sensed imagery tailored to classification performance[C]// IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, 2003. IEEE, 2003: 259-262. https://doi.org/10.1109/WARSD.2003.1295202. |
| [42] | Zhu C Q, Ren N. An Algorithm for Digital Watermark Based on Pseudo-Random Sequence and DCT for Remote Sensing Image[J]. Geomatics and Information Science of Wuhan University, 2011, 36(12): 1427-1429. |
| [43] | Curran K, Li X, Clarke R. An investigation into the use of the least significant bit substitution technique in digital watermarking[J]. American Journal Applied Sciences, 2005, 2(3): 648-654. https://doi.org/10.3844/ajassp.2005.648.654. |
| [44] | Zeki A M, Manaf A A. A novel digital watermarking technique based on ISB (Intermediate Significant Bit)[J]. World Academy of Science, Engineering and Technology, 2009, 50: 989-996. https://doi.org/10.5281/zenodo.1059765. |
| [45] | Kashyap N, Sinha G R. Image watermarking using 3-level discrete wavelet transform (DWT)[J]. International Journal of Modern Education and Computer Science, 2012, 4(3): 50. https://doi.org/10.5815/ijmecs.2012.03.07. |
| [46] | Urvoy M, Goudia D, Autrusseau F. Perceptual DFT watermarking with improved detection and robustness to geometrical distortions[J]. IEEE Transactions on Information Forensics and Security, 2014, 9(7): 1108-1119. https://doi.org/10.1109/TIFS.2014.2322497. |
| [47] | Zhang Y Q, Bao Y, Wang Q P, et al. Reversible watermarking algorithm of grid map based on prediction-error histogram[J]. Journal of Software, 2013, 8(5): 1117-1123. https://doi.org/10.4304/jsw.8.5.1117-1123. |
| [48] | Weng S W, Chu S C, Cai N, et al. Invariability of mean value based reversible watermarking[J]. Journal of Information Hiding and Multimedia Signal Processing, 2013, 4(2): 90-98. |
| [49] | Huynh-The T, Banos O, Lee S, et al. Improving digital image watermarking by means of optimal channel selection[J]. Expert Systems with Applications, 2016, 62: 177-189. https://doi.org/10.1016/j.eswa.2016.06.015. |
| [50] | Dehkordi A B, Esfahani S N, Avanaki A N. Robust LSB watermarking optimized for local structural similarity[C]// 2011 19th Iranian Conference on Electrical Engineering. IEEE, 2011: 1-6. https://doi.org/10.48550/arXiv.1803. |
| [51] | Lin W, Zhai X D, Zhu C Q, et al. QR code based research on digital watermark algorithm for remote sensing image[J]. Journal of Beijing University of Posts and Telecommunications, 2015, 38(1): 26. https://doi.org/10.13190/j.jbupt.2015.01.005. |
| [52] | Li L L, Sun J G. A watermarking scheme for remote sensing image based on DFT and watermarking segmentation[J]. Computer Systems & Applications, 2011, 20(09):204-206+255. https://doi.org/10.4028/www.scientific.net/amr.433-440.2504. |
| [53] | Wang C, Wang X, Xia Z, et al. Ternary radial harmonic fourier moments based robust stereo image zero-watermarking algorithm[J]. Information Sciences, 2019, 470: 109-120. https://doi.org/10.1016/j.ins.2018.08.028https://doi.org/10.1016/j.ins.2018.08.028. |
| [54] | Jing L, Sun Z T, Chen K X, et al. Remote sensing image zero watermarking algorithm based on dft[C]// Journal of Physics: Conference Series. IOP Publishing, 2021, 1865(4): 042034, https://doi.org/10.1088/1742-6596/1865/4/042034. |
| [55] | Xu D J, Zhu C Q, Ren N. A Zero-watermark algorithm for copyright protection of remote sensing image based on blockchain[C]// 2022 International Conference on Blockchain Technology and Information Security (ICBCTIS). IEEE, 2022: 111-116. https://doi.org/10.1109/ICBCTIS55569.2022.00036. |
| [56] | Cai Z S. A novel image watermarking method based on singular value decomposition and digital holography[C]// Hyperspectral Remote Sensing Applications and Environmental Monitoring and Safety Testing Technology. SPIE, 2016, 10156: 255-264. https://doi.org/10.1117/12.2246593. |
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